ACM Transactions on

Sensor Networks (TOSN)

Latest Articles

Node or Link? Fine-Grained Analysis of Packet-Loss Attacks in Wireless Sensor Networks

In wireless sensor networks, packet losses are often an indicator of possible undergoing attacks. Therefore, security solutions aiming at providing... (more)

Accurate, Dynamic, and Distributed Localization of Phenomena for Mobile Sensor Networks

We present a robust, dynamic scheme for the automatic self-deployment and relocation of mobile sensor nodes (e.g., unmanned ground vehicles, robots)... (more)

Game Theory Framework for MAC Parameter Optimization in Energy-Delay Constrained Sensor Networks

Optimizing energy consumption and end-to-end (e2e) packet delay in energy-constrained, delay-sensitive wireless sensor networks is a conflicting... (more)


The energy consumption of Wireless Sensor Networks (WSNs) correlates with the voltage level at which the nodes are powered—a lowered voltage leads to a prolonged lifetime of nodes and networks. Operating nodes at voltage levels below the recommendation—so-called undervolting—saves energy but is accompanied by an increased risk of... (more)

Energy-Efficient Time Synchronization in Wireless Sensor Networks via Temperature-Aware Compensation

Time synchronization is critical for wireless sensor networks (WSNs) because data fusion and duty... (more)

Incentive Mechanisms for Participatory Sensing

Participatory sensing is a powerful paradigm that takes advantage of smartphones to collect and analyze data beyond the scale of what was previously possible. Given that participatory sensing systems rely completely on the users’ willingness to submit up-to-date and accurate information, it is paramount to effectively incentivize users’... (more)

Maintaining Large-Scale Rechargeable Sensor Networks Perpetually via Multiple Mobile Charging Vehicles

Wireless energy transfer technology based on magnetic resonant coupling has been emerging as a... (more)

Range-Free Mobile Actor Relocation in a Two-Tiered Wireless Sensor and Actor Network

Two-tiered wireless sensor and actor networks (WSANs) have been proposed to enhance network capabilities, where a set of resource-rich mobile nodes... (more)

Bounds on Multiple Sensor Fusion

We consider the problem of fusing measurements in a sensor network, where the sensing regions overlap and data are nonnegative real numbers, possibly resulting from a count of indistinguishable discrete entities. Because of overlaps, it is generally impossible to fuse this information to arrive at an accurate value of the overall amount or count of... (more)


New options for ACM authors to manage rights and permissions for their work

ACM introduces a new publishing license agreement, an updated copyright transfer agreement, and a new author-pays option which allows for perpetual open access through the ACM Digital Library. For more information, visit the ACM Author Rights webpage.


About TOSN

TOSN publishes original research papers (approximately 30-40 printed pages each in ACM Transaction style) and tutorial and survey papers (approximately 30-50 printed pages each). We do not accept short technical notes.
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Forthcoming Articles
Carpooling Service for Large-Scale Taxicab Networks

Carpooling has long held the promise of reducing gas consumption by decreasing mileage to deliver co-riders. Although ad hoc carpools already exist in the real world through private arrangements, little research on the topic has been done. In this paper, we present the first systematic work to design, implement, and evaluate a carpool service, called coRide, in a large-scale taxicab network intended to reduce total mileage for less gas consumption. Our coRide system consists of three components, a dispatching cloud server, passenger clients, and an onboard customized device, called TaxiBox. To improve coRides efficiency in mileage reduction, we formulate a NP-hard route calculation problem under different practical constraints. We then provide (i) an optimal algorithm using Linear Programming, (ii) a 2 approximation algorithm with a polynomial complexity, and (iii) its corresponding online version with a linear complexity. We test the performance of coRide by a comprehensive evaluation with a real-world implementation and a data-driven simulation with 14,000 taxi data from the Chinese city Shenzhen. The results show that compared with the ground truth, our service can reduce 33% of total mileage; with our win-win fare model, we can lower passenger fares by 49% and simultaneously increase driver profit by 76%.

On A New SDP-SOCP Method for Acoustic Source Localization Problem

Acoustic source localization has many important applications. Convex relaxation provides a viable approach of obtaining good estimates very efficiently. There are two popular convex relaxation methods using either semi-definite programming or second order cone programming. However, the performances of the methods have not been studied properly in the literature and there is no comparison in terms of accuracy and performance. The aims of this paper are twofold. First of all, we study and compare several convex relaxation methods. We demonstrate by numerical examples that most of the convex relaxation methods cannot localize the source exactly even in the performance limit when the time difference of arrival (TDOA) information is exact. In addressing this problem, we propose a novel mixed SDP-SOCP relaxation model and study the characteristics of the optimal solutions and its localizable region. Furthermore, an error correction scheme for the proposed SDP-SOCP model is developed so that exact localization can be achieved in the performance limit. Experimental data have been collected in a room with two different array configurations to demonstrate our proposed approach.

Energy-Efficient Aquatic Environment Monitoring Using Smartphone-Based Robots

This paper presents the design and implementation of Samba - an aquatic surveillance robot that integrates an Android smartphone and a robotic fish to monitor harmful aquatic processes such as oil spill and HABs. Using the built-in camera, Samba can detect spatially dispersed aquatic processes in dynamic and complex environments. To reduce the excessive false alarms caused by the non-water area (e.g., trees on the shore), Samba segments captured images and performs target detection in the identified water area only. However, a major challenge is the high energy consumption resulted from continuous image segmentation. We propose a novel approach that leverages the power-efficient inertial sensors to assist image processing. In particular, based on the learned mapping models between inertial and visual features, Samba uses real-time inertial sensor readings to estimate the visual features that guide image segmentation, significantly reducing energy consumption and computation overhead. Samba also features several lightweight and robust computer vision algorithms and a feedback-based rotation control algorithm. We have implemented a Samba prototype and evaluated it through extensive field experiments, lab experiments, and trace-driven simulations. The results show that Samba can achieve 94% detection rate, 5% false alarm rate, and a lifetime up to nearly two months.

Following Targets for Mobile Tracking in Wireless Sensor Networks

Traditional tracking solutions in wireless sensor networks based on fixed sensors have several critical problems. First, due to the mobility of targets, a lot of sensors have to keep being active to track targets in all potential directions, which causes excessive energy consumption. Second, when there are holes in the deployment area, targets may fail to be detected when moving into holes. Third, when targets stay at certain positions for a long time, sensors surrounding them have to suffer heavier work pressure than others, which leads to a bottleneck for the entire network. To solve these problems, a few of mobile sensors are introduced to follow targets directly for tracking because the energy capacity of mobile sensors is less constrained and they can detect targets closely with high tracking quality. Based on a realistic detection model, a solution of scheduling mobile sensors as well as fixed sensors for target tracking is proposed. Moreover, the movement path of mobile sensors has provable performance bound compared with the optimal solution. Results of extensive simulations show that mobile sensors can improve the tracking quality even if holes exist in the area and reduce energy consumption of sensors effectively.

LIPS: A Light Intensity Based Positioning System For Indoor Environments

This paper presents {\em LIPS}, a Light Intensity based Positioning System for indoor environments. The system uses off-the-shelf LED lamps as signal sources, and uses light sensors as signal receivers. The design is inspired by the observation that a light sensor has {\em deterministic sensitivity} to both the distance and incident angle of light signal, an under-utilized feature of photodiodes now widely found on mobile devices. We develop a stable and accurate light intensity model to capture the phenomenon, based on which a new positioning principle, {\em Multi-Face Light Positioning} (MFLP), is established that uses three collocated sensors to uniquely determine the receiver's position, assuming merely a {\em single} source of light. We have implemented a prototype on both dedicated embedded systems and smartphones. Experimental results show average positioning accuracy within 0.4 meters across different environments, with high stability against interferences from obstacles, ambient lights, temperature variation, etc.

Consensus Aware Sociopsychological Trust Model for Wireless Sensor Networks

Security plays a vital role in Wireless Sensor Networks (WSN) for providing reliability to the network. In WSN, where nodes besides having its inbuilt capability of sensing, processing and communicating data, also possess some risks. These risks, expose them to attacks and bring in many security challenges. Many researchers are engaged in developing innovative design paradigms to address security issues by developing trust management systems. In WSN, trust is important for establishment of cooperation among the sensor nodes. The paper presents a sociopsychological model for building trust in WSN. The three factors such as ability, benevolence and integrity are used for the computation of trust. Furthermore, the paper provides a novel consensus aware sociopsychological approach to deal even in the presence of higher number of fraudulent nodes than benevolent nodes. Proposed work has been implemented in LabVIEW platform and extensive simulations are carried out to study its performance. Additionally, it is experimentally evaluated on hardware testbed of size 16 nodes to obtain results that demonstrate the accuracy and robustness of the proposed model.

Secure Positioning in Wireless Sensor Networks through Enlargement Miscontrol Detection

Wireless sensor networks enable a wealth of new applications in areas such as military, medical, environmental, transportation, smart city, and so on. In many of such scenarios, we need to measure in a secure way the positions of the sensors. Existing range-based techniques for secure positioning require a burdensome infrastructure, with many fixed anchors. Reducing the infrastructure would reduce the deployment cost, and foster the adoption of secure positioning solutions in wireless sensor networks. In this paper we propose SPEM, a secure positioning system based on multilateration and distance bounding protocols, which are protocols capable of measuring a trusted upper bound to a distance. SPEM uses the IEEE 802.15.4a UWB standard protocol to implement distance bounding. The key idea behind SPEM is to leverage the low probability that an adversary has of controlling enlargement attacks against IEEE 802.15.4a UWB. We estimate such a probability by a thorough study and signal-level simulations of the UWB physical layer. We show that SPEM needs up to 93% less infrastructure than state-of-the-art solutions, while achieving high levels of security against smart and determined adversaries.

A Comparative Study of Recent Wireless Sensor Network Simulators

Over recent years, the continuous interest in Wireless Sensor Networks (WSN) has led to the appearance of new modeling methods and simulation environments for WSN applications. A broad variety of different simulation tools have been designed to explore and validate WSN systems before actual implementation and real world deployment. These tools address different design aspects and offer various simulation abstractions to represent and model real world behavior. In this paper, we present a comprehensive comparative study of mainstream open source simulation tools for WSNs. Two benchmark applications are designed to evaluate the frameworks with respect to the simulation run-time performance, network throughput, communication medium modeling, packet reception rate, network latency, and power consumption estimation accuracy. Such metrics are also evaluated against measurements on physical prototypes. Our experiments show that the tools produce equivalent results from a functional point of view and capacity to model communication phenomena, while the ability to model details of the execution platform significantly impacts the run-time simulation performance and the power estimation accuracy. The benchmark applications are also made available in the public domain for further studies.

Neighborhood View Consistency in Wireless Sensor Networks

Sensor network protocols are often based on message exchanges within a nodes radio range. We recognize that for these protocols to work effectively, nodes must have consistent information about their neighborhoods. Different types of faults, however, can affect this information. We argue that a notion of neighborhood view consistency (NVC) can be provided to improve protocols' performance. We study NVC from both a theoretical and a system perspective. We prove that NVC cannot be solved in an asynchronous system augmented with Chandra and Touegs failure detectors. Next, we introduce a software device called pseudocrash failure detector (PCD) and identify the conditions for solving NVC with PCDs. We prove that, in the presence of transient faults, NVC is impossible to solve with any PCDs, and thus define two weaker specifications of NVC. We develop a global algorithm that satisfies both in the presence of unidirectional links, and a localized algorithm that solves the weakest specification when links are bidirectional. We integrate the latter with four WSN protocols and run extensive micro-benchmarks and full-stack experiments on a 90-node testbed. Our results show that performance significantly improves for NVC-equipped protocols; for example, CTP halves energy consumption with higher data delivery.

BLOW-UP: Towards Distributed and Scalable Space Filling Curve Construction in 3D Volumetric WSNs

In wireless sensor networks (WSNs), a space filling curve (SFC) refers to as a path passing through all nodes in the network, with each node visited at least once. By enforcing a linear order of the sensor nodes through SFC, many applications in WSNs concerning serial operations on both sensor nodes and sensor data can be performed, examples including serial data fusion and path planing of mobile nodes. Although a few studies have made efforts to find such SFCs in WSNs, they primarily target at 2D planar or 3D surface settings, and cannot be directly applied to 3D volume WSNs due to considerably more complex geometric features and topology shapes the 3D volume settings introduce. This article presents BLOW-UP, a distributed, scalable and connectivity-based algorithm to construct a SFC for a 3D WSN (or alternatively to linearize the 3D network). The main idea of BLOW-UP is to decompose the given 3D network into a series of connected and closed layers, and the nodes are traversed layer by layer, incrementally from the innermost to the outermost, yielding a SFC covering the entire network, provably at least once and at most a constant number of times.

Neighbour-Disjoint Multipath for Low-Power and Lossy Networks

In this paper, we describe a neighbour disjoint multipath (NDM) scheme that is shown to be more resilient amidst node or link failures compared to the two well-known node disjoint and edge disjoint multipath techniques. A centralised NDM was first conceptualised in our initial published work utilising the spatial diversity among multiple paths to ensure robustness against localised poor channel quality or node failures. Here, we further introduce a distributed version of our NDM algorithm adapting to the low-power and lossy network (LLN) characteristics. We implement our distributed NDM algorithm in Contiki OS on top of LOADng  a lightweight On-demand Ad hoc Distance Vector Routing protocol. We compare this implementation's performance with RPL  a standard IPv6 routing protocol of LLN, and also with basic LOADng, running in the Cooja simulator. Standard performance metrics such as packet delivery ratio, end-to-end latency, overhead and average routing table size are identified for the comparison. The results and observations are provided considering a few different application traffic patterns, which serve to quantify the improvements in robustness arising from NDM. The results are confirmed by experiments using a public sensor network testbed with over 100 nodes.

Cooperative Allocation of Tasks and Schedule of Sampling Intervals to Minimize Data Sharing in WSNs

Data sharing amongst multiple tasks is significant to reduce energy consumption and communication cost in low-power wireless sensor networks. Current proposals have already scheduled the discrete point sampling tasks to decrease the amount of sampled data. However, less effort has been done for the applications requiring continuous interval sampling data. Additionally, most of prior work focuses on scheduling tasks on a single sensor node. In this paper, we broaden the scope to the entire network and attempt to minimize the total amount of interval sampling data instead of traditional discrete point sampling data. Our basic idea is to cooperatively allocate and schedule multiple sampling tasks by utilizing the overlap amongst these tasks. Since the allocation problem is NP-hard and the scheduling problem is NP-complete, we design two dedicated 2-factor approximation methods for task allocation and scheduling, respectively. Extensive real experiments are conducted on a testbed of 50 sensor nodes to evaluate the effectiveness of our proposals. Moreover, the scalability of our proposals is verified by using the widely-used simulation tool, i.e., TOSSIM. The experimental results indicate that, compared with the state-of-the-art solution, our methods reduce the amount of sampled data significantly.

Connectivity-based Space Filling Curve Construction Algorithms in High Genus 3D Surface WSNs

Many applications in wireless sensor networks (WSNs) require that sensor observations in a given monitoring area be aggregated in a serial fashion. This demands a routing path to be constructed traversing all sensors in that area, which is also called to linearize the network. In this paper, we present SURF, a Space filling cURve construction scheme for high genus 3D surFace WSNs, yielding a traversal path provably aperiodic (that is, any node is covered at most a constant number of times).

Socially Optimal Coexistence of Wireless Body Area Networks Enabled by a Non-Cooperative Game

In this paper, we enable the coexistence of multiple wireless body area networks (BANs) using a finite repeated non-cooperative game for transmit power control. With no coordination amongst these personal sensor networks, the proposed game maximizes each network's packet delivery ratio (PDR) at low transmit power. In this context we provide a novel utility function, which gives reduced benefit to players with higher transmission power, and a subsequent reduction in radio interference to other coexisting BANs. Considering the purpose of inter-BAN interference mitigation, PDR is expressed as a compressed exponential function of inverse signal-to-interference-and-noise ratio (SINR), so it is essentially a function of transmit powers of all coexisting BANs. It is shown that a unique Nash Equilibrium (NE) exists, and hence there is a subgame-perfect equilibrium, considering best-response at each stage independent of history. In addition, the NE is proven to be the socially optimal solution across all action profiles. Realistic and extensive on- and inter-body channel models are employed. Results confirm the effectiveness of the proposed scheme in better interference management, greater reliability and reduced transmit power, when compared with other schemes that can be applied in BANs.

Designing Interactive Multi-swimmer Exergames: A Case Study

Energy Harvesting and Wireless Transfer in Sensor Network Applications: Concepts and Experiences

Advances in micro-electronics and miniaturized mechanical systems are redefining the scope and extent of the energy constraints found in battery-operated wireless sensor networks (WSNs). On one hand, ambient energy harvesting may prolong the systems' lifetime, or possibly enable perpetual operation. On the other hand, wireless energy transfer allows systems to decouple the energy sources from the sensing locations, enabling deployments previously unfeasible. As a result of applying these technologies to WSNs, the assumption of a finite energy budget is replaced with that of potentially infinite, yet intermittent energy supply, profoundly impacting the design, implementation, and operation of WSNs. This article discusses these aspects by surveying paradigmatic examples of existing solutions in both fields, and by reporting on real-world experiences found in the literature. The discussion is instrumental to providing a foundation for selecting the most appropriate energy harvesting or wireless transfer technology based on the application at hand. We conclude the article by outlining research directions originating from the fundamental change of perspective that energy harvesting and wireless transfer bring about.

Integrated coverage and connectivity configuration for energy conservation in sensor networks

VigilNet: An integrated sensor network system for energy-efficient surveillance

Distributed weighted-multidimensional scaling for node localization in sensor networks

Semidefinite programming based algorithms for sensor network localization

Models and solutions for radio irregularity in wireless sensor networks

LEAP+: Efficient security mechanisms for large-scale distributed sensor networks

Reputation-based framework for high integrity sensor networks

Using mobile phones to determine transportation modes

An analysis of unreliability and asymmetry in low-power wireless links

On the lifetime of wireless sensor networks


Publication Years 2005-2016
Publication Count 428
Citation Count 2943
Available for Download 428
Downloads (6 weeks) 2934
Downloads (12 Months) 26858
Downloads (cumulative) 280691
Average downloads per article 656
Average citations per article 7
First Name Last Name Award
Saurabh Bagchi ACM Distinguished Member (2013)
ACM Senior Member (2009)
Stefano Basagni ACM Distinguished Member (2015)
ACM Senior Member (2006)
Nirupama Bulusu ACM Senior Member (2014)
Falko Dressler ACM Senior Member (2009)
Deborah Estrin ACM-W Athena Lecturer Award (2006)
Leonidas J Guibas ACM AAAI Allen Newell Award (2007)
Wendi Beth Heinzelman ACM Distinguished Member (2012)
ACM Senior Member (2009)
Ahmed A Helmy ACM Distinguished Member (2014)
ACM Senior Member (2012)
Mary Jane Irwin ACM-W Athena Lecturer Award (2010)
ACM Distinguished Service Award (2005)
Michael I. Jordan ACM AAAI Allen Newell Award (2009)
Jon Kleinberg ACM AAAI Allen Newell Award (2014)
ACM-Infosys Foundation Award in the Computing Sciences (2008)
Ajay Kshemkalyani ACM Distinguished Member (2009)
ACM Senior Member (2009)
Xiang-Yang Li ACM Distinguished Member (2014)
Yunhao Liu ACM Presidential Award (2013)
Peng Ning ACM Senior Member (2007)
Sartaj K Sahni ACM Karl V. Karlstrom Outstanding Educator Award (2003)
Rijurekha Sen ACM India Doctoral Dissertation Award (2014)
Cyrus Shahabi ACM Distinguished Member (2009)
Subhash Suri ACM Distinguished Member (2007)
Gene Tsudik ACM Senior Member (2013)
Yu Wang ACM Senior Member (2011)
Matt Welsh ACM Senior Member (2009)
Qiang Yang ACM Distinguished Member (2011)
Ying Zhang ACM Senior Member (2009)
Albert Zomaya ACM Distinguished Member (2006)

First Name Last Name Paper Counts
Guoliang Xing 13
Tian He 11
Tarek Abdelzaher 10
Mani Srivastava 7
John Stankovic 7
Gang Zhou 6
Jie Gao 5
Ramesh Govindan 5
Peng Ning 5
Xiaorui Wang 5
Xiaohua Jia 4
Radu Stoleru 4
Sencun Zhu 4
Wenliang Du 4
Subhash Suri 4
Dan Wang 4
Qing Cao 4
Shan Lin 4
Ioannis Paschalidis 4
Deborah Estrin 4
Radha Poovendran 4
Raja Jurdak 4
Nageswara Rao 4
Xiaodong Wang 4
Alberto Cerpa 4
Rajesh Gupta 3
Jiangchuan Liu 3
Rui Tan 3
Mo Li 3
Yuchee Tseng 3
Branislav Kusy 3
Omprakash Gnawali 3
Simon Dobson 3
Guiling Wang 3
Yunhao Liu 3
Jeongyeup Paek 3
Upamanyu Madhow 3
Sajal Das 3
Chris Bleakley 3
Qian Zhang 3
Wensheng Zhang 3
Lin Gu 3
Anurag Kumar 3
Utz Roedig 3
Ryo Sugihara 3
Liqian Luo 3
Daniela Rus 3
Kamin Whitehouse 3
Yu Gu 3
Sanjay Jha 3
Marimuthu Palaniswami 3
Thomas La Porta 3
Chenyang Lu 3
Bhaskar Krishnamachari 3
Wade Trappe 3
Jiming Chen 3
Wendi Heinzelman 3
Andrew Campbell 3
Li Xiao 3
Mark Hansen 3
Jennifer Hou 3
Rik Sarkar 3
Shane Eisenman 3
Loukas Lazos 3
Jiannong Cao 3
Xiaobing Wu 3
Lance Kaplan 3
Luca Mottola 2
Anis Koubâa 2
Yanyong Zhang 2
Deokwoo Jung 2
Twan Basten 2
Christos Anagnostopoulos 2
Nicholas Jennings 2
Miguel Carreira-Perpiñán 2
Wolf Pöttner 2
Zhenjiang Li 2
Keith Martin 2
Michele Rossi 2
Dong Guo 2
Wenbo He 2
Sanjeev Setia 2
Carlo Fischione 2
Diethelm Ostry 2
Cormac Sreenan 2
Gul Agha 2
Sutharshan Rajasegarar 2
Michael Segal 2
Wilfried Philips 2
Hairong Qi 2
Anne Kermarrec 2
Gian Picco 2
Robert Pless 2
Deepak Ganesan 2
Thomas La Porta 2
Francesco Restuccia 2
Sajal Das 2
Guohong Cao 2
James Brown 2
Wen Hu 2
Saurabh Bagchi 2
Anish Arora 2
Claude Castelluccia 2
Maura Paterson 2
Faramarz Fekri 2
Andreas Savvides 2
Jinzhu Chen 2
Bhaskaran Raman 2
Lui Sha 2
Marc Geilen 2
Yu Wang 2
Mehul Motani 2
Ronghua Wang 2
Hongjiang Zhang 2
Pascal Vicaire 2
Donggang Liu 2
Qingfeng Huang 2
Xianjin Zhu 2
Yong Yang 2
Laura Balzano 2
Neeraj Jaggi 2
Russell Costa 2
Yafeng Wu 2
Falko Dressler 2
Shucheng Yu 2
Chiara Petrioli 2
Konrad Iwanicki 2
Nadjib Badache 2
Fred Cohen 2
Andreas Meier 2
Mihail Sichitiu 2
David Brady 2
Gregory O'Hare 2
Aldar Chan 2
Jeroen Doumen 2
Indranil Gupta 2
Abu Kamal 2
Alex Rogers 2
Matthew Johnson 2
Douglas Stinson 2
Wenzhan Song 2
Rong Zheng 2
Mahmut Karakaya 2
Kevin Ni 2
Mohamed Younis 2
Paul Havinga 2
Wenyuan Xu 2
Thomas Kunz 2
Xue Liu 2
Theodore Brown 2
Prabal Dutta 2
Stathes Hadjiefthymiades 2
Djamel Djenouri 2
John Hicks 2
Hamid Aghajan 2
Sushil Jajodia 2
Lars Wolf 2
János Sallai 2
Ákos Lédeczi 2
Koen Langendoen 2
Peter Corke 2
Rajesh Panta 2
Samir Das 2
Gregory Pottie 2
Dong Xuan 2
Sitharama Iyengar 2
Sudha Krishnamurthy 2
Nithya Ramanathan 2
Philip Levis 2
Ilker Demirkol 2
Pankaj Agarwal 2
Steven Gortler 2
Pieter Hartel 2
Ting Yan 2
Mallikarjun Shankar 2
Chatschik Bisdikian 2
Pedro Marrón 2
Neal Patwari 2
Yeewei Law 2
Christina Fragouli 2
Lu Su 2
Guihai Chen 2
Chifu Huang 2
Marco Zamalloa 2
Eddie Kohler 2
Nisheeth Shrivastava 2
Ashutosh Sabharwal 2
Gene Tsudik 2
Marwan Krunz 2
Sol Lederer 2
Mingyan Liu 2
Felix Büsching 2
Yong Liu 2
Pangun Park 2
Péter Völgyesi 2
Suyoung Yoon 2
Chiehyih Wan 2
Antonio Ruzzelli 2
Bogdan Carbunar 2
Hengchang Liu 2
David Yau 2
Edward Coyle 2
Tao Liu 2
Thomas Wettergren 2
Mahima Suresh 1
Dheeraj Kumar 1
Theofanis Lambrou 1
Wan Du 1
Zikun Xing 1
Haiyan Miao 1
Nicola Bui 1
Erman Ayday 1
Shihying Chang 1
Sharanya Eswaran 1
Guohong Cao 1
Supriyo Chatterjea 1
Qiang Yang 1
Dou Shen 1
Krithi Ramamritham 1
Shigeng Zhang 1
Zhong Chen 1
David Malan 1
Chuntung Chou 1
Jehoshua Bruck 1
Konstantinos Kleisouris 1
Isabel Dietrich 1
Prasun Sinha 1
Karl Johansson 1
Amirhosein Taherkordi 1
Zheng Yang 1
Chenshu Wu 1
Saro Meguerdichian 1
Phoebus Chen 1
John Heidemann 1
Pohkit Chong 1
Kui Ren 1
Dinesh Verma 1
Kurt Plarre 1
Ali Ercan 1
Yue Wu 1
Carl Larsen 1
Heemin Park 1
Shanhung Wu 1
Yenting Chen 1
Ali Eslami 1
Cesare Alippi 1
Karol Strzelecki 1
D Knox 1
Pai Chou 1
Hungyun Hsieh 1
Debraj De 1
Byeongsam Kim 1
Kaiqi Xiong 1
Maarten Van Steen 1
Somnath Mitra 1
Santosh Kumar 1
Wook Choi 1
Giacomo Ghidini 1
Vladimir Dyo 1
Cecilia Mascolo 1
Bence Pásztor 1
Ting Zhu 1
Sagar Bijwe 1
Yuan Zhou 1
Sarangapani Jagannathan 1
Younghun Kim 1
Paweł GburzyńSki 1
Xiaohui Liu 1
David Culler 1
Domenic Forte 1
Ankur Srivastava 1
Hanan Shpungin 1
Jangping Sheu 1
Tingyu Wang 1
Manuel Roveri 1
Wei Dong 1
Jiajun Bu 1
Marcel Steine 1
Michał Ren 1
Michael Lemay 1
Deukhyoun Heo 1
Elizabeth Basha 1
Bernard Mulgrew 1
Sharadh Ramaswamy 1
Richard Cagley 1
Marin Bertier 1
Min Mun 1
Donnie Kim 1
Aqeel Kazmi 1
Christos Panayiotou 1
Liqun Li 1
Benjamin Gaudette 1
Dong Liang 1
Spyros Voulgaris 1
Bijun Li 1
Mengfan Shan 1
Leonid Barenboim 1
Haosheng Fan 1
Xianwei Sun 1
Jamie Payton 1
Fangjing Wu 1
Olga Saukh 1
Robert Sauter 1
Kirk Martinez 1
Anhtuan Hoang 1
Masayuki Murata 1
Takaaki Hatauchi 1
Mohammad Razzaque 1
Jorge Silva 1
Poliang Lin 1
Jordi Casademont 1
Wooyoung Kim 1
Himanshu Gupta 1
Bimal Roy 1
Chen Wang 1
Jeff Burke 1
Arsalan Tavakoli 1
Carla Chiasserini 1
Andreas Krause 1
Jinfeng Ni 1
Chinya Ravishankar 1
Suman Nath 1
Umakishore Ramachandran 1
Ulrich Meyer 1
Dennis Schieferdecker 1
Maria Gorlatova 1
Gerald Stanje 1
Jianxun Zhu 1
Hui Lei 1
Jie Tian 1
Noemi Rodriguez 1
Paklam Yung 1
Xin Zhang 1
Hongyang Chen 1
Yongdong Tan 1
Hyuk Lim 1
Jörg Schwenk 1
Apoorva Jindal 1
Laurence Riddle 1
Johannes Gehrke 1
Stephen Kobourov 1
Jianguo Yao 1
Jing Feng 1
Yuan Yao 1
Bernhard Rinner 1
Krishna Venkatasubramanian 1
Sandeep Gupta 1
Zijian Wang 1
M Banks 1
Xi Xu 1
Lloyd Chua 1
Muen Wu 1
Xusheng Sun 1
Archan Misra 1
Hui Song 1
Jie Yin 1
Vikram Srinivasan 1
Peter Brass 1
Xuan Liu 1
Matt Welsh 1
Andrew Taylor 1
Anxiao(Andrew) Jiang 1
Lodewijk Van Hoesel 1
Paul Chukiu 1
Klaus Herrmann 1
Yanjun Yao 1
Edgar Lobaton 1
Parvez Ahammad 1
Lungchung Chang 1
Wei Ye 1
Peng Ning 1
Tiziana Calamoneri 1
Sudip Misra 1
Mário Alves 1
Andrew Markham 1
Pavan Kumar 1
Stephen Dawson-Haggerty 1
Ioanis Nikolaidis 1
Wentsuen Chen 1
TzuChen Lian 1
Alessandro Mecocci 1
Lihsing Yen 1
Cristian Galperti 1
Markos Anastasopoulos 1
Panayotis Cottis 1
Chun Chen 1
Jongarm Jun 1
Mingsen Xu 1
Sainyam Galhotra 1
Rajesh Kumar 1
Wuyang Dai 1
Amitabha Bagchi 1
Qian Wang 1
Wenjing Lou 1
Thomas Dietterich 1
Yann Busnel 1
Giuseppe Anastasi 1
Katie Shilton 1
Simon Duquennoy 1
Mikael Johansson 1
Christos Laoudias 1
Cynthia Phillips 1
Jianxun Wang 1
Oleg Prokopyev 1
Sarma Vrudhula 1
Maarten Van Steen 1
Benedict Herzog 1
Wolfgang Schröder-Preikschat 1
Kinsum Liu 1
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Martin Haenggi 1
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Affiliation Paper Counts
University of Louisville 1
Sun Yat-Sen University 1
Shanghai Normal University 1
Technion - Israel Institute of Technology 1
Frostburg State University 1
University of Connecticut 1
University of Delaware 1
Portland State University 1
University of Pannonia 1
South China University of Technology 1
University of Tokyo 1
University of Thessaly 1
Broadcom Corporation 1
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University of Exeter 1
Clemson University 1
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University of Edinburgh 1
University of Szeged 1
Technical University of Madrid 1
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University of Pisa 1
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Kent State University 1
University of Missouri-St. Louis 1
Free University of Berlin 1
California State University Los Angeles 1
University of Queensland 1
University of Patras 1
Teledyne Technologies 1
Utah State University 1
McMaster University 1
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University of Kuwait 1
University of Sousse 1
Gwangju Institute of Science and Technology 1
University of Sciences and Technology Houari Boumediene 1
Jiangsu University of Science and Technology 1
Berlin Museum of Natural Sciences 1
Cyprus University of Technology 1
New York Institute of Technology 1
Huawei Technologies Co., Ltd. 1
European Microsoft Innovation Center GmbH 1
University of Applied Sciences and Arts of Southern Switzerland 1
Karlsruhe Institute of Technology 1
Madrid Institute for Advanced Studies 1
National Institute of Science and Technology 1
VMware, Inc 1
Indian Institute of Technology Bhubaneswar 1
Indraprastha Institute of Information Technology Delhi 1
INRIA Saclay 1
Chalmers University of Technology 1
Oklahoma Baptist University 1
Rochester Institute of Technology 1
McGill University 1
Bar-Ilan University 1
University of Perugia 1
Sookmyung Women's University 1
Samsung Electronics 1
Northwestern Polytechnical University China 1
Institute of High Performance Computing, Singapore 1
Southeast University China, Nanjing 1
Ruhr University of Bochum 1
University of Electronic Science and Technology of China 1
Los Alamos National Laboratory 1
MIT Computer Science and Artificial Intelligence Laboratory 1
Koc University 1
University of Western Macedonia 1
University of Missouri-Kansas City 1
Northwestern University 1
Horia Hulubei National Institute of Physics and Nuclear Engineering 1
Sandia National Laboratories, New Mexico 1
Osaka Prefecture University 1
Nanjing University of Post and TeleCommunications 1
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King Fahd University of Petroleum and Minerals 1
University of Innsbruck 1
The University of British Columbia 1
Southwest Jiaotong University 1
Isik University 1
Donghua University 1
IBM Research 1
Brown University 1
Technical University of Berlin 1
University of Bedfordshire 1
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Toyon Research Corporation 1
King Saud University 1
Qualcomm Incorporated 1
Czech Technical University in Prague 1
South National University 1
University of the Pacific, California 1
Texas Instruments 1
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Robert Bosch GmbH 1
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Philips Research 1
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Academia Sinica Taiwan 1
Weizmann Institute of Science Israel 1
Hongik University 1
Universite de Technologie de Compiegne 1
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Communications Research Centre 1
Fujian Normal University 1
Singapore Management University 1
Graz University of Technology 1
Kennesaw State University 1
University of Paderborn 1
University of Calabria 1
Catholic University of America 1
Federal University of Rio de Janeiro 2
Max Planck Institute for Informatics 2
University of Arkansas at Little Rock 2
University of Glasgow 2
Centre for Wireless Communications Finland 2
Universidad Carlos III de Madrid 2
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University of Texas at San Antonio 2
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University of Porto 2
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University of Tsukuba 2
University of Duisburg-Essen 2
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University of Stuttgart 2
University of Science and Technology of China 2
University of Birmingham 2
Wroclaw University of Technology 2
Brunel University 2
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University College London 2
Jozef Stefan Institute 2
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Indian Statistical Institute, Kolkata 2
The University of North Carolina at Chapel Hill 2
Nokia 2
National University of Kaohsiung 2
University of Athens 2
Cisco Systems 2
Federal University of Minas Gerais 2
Temple University 2
University of Alberta 2
Korea Advanced Institute of Science & Technology 2
Concordia University, Montreal 2
Intel Research Laboratories 2
Ozyegin University 2
Microsoft Research Asia 2
University of Padua 3
Instituto Superior de Engenharia do Porto 3
University of Siena 3
National Technical University of Athens 3
Princeton University 3
University of Illinois 3
Bogazici University 3
National Chung Cheng University 3
Birkbeck University of London 3
Seoul National University 3
University of Massachusetts System 3
University of Waterloo 3
Imperial College London 3
University of Pittsburgh 3
National University of Singapore 3
Carleton University 3
Wichita State University 3
University of South Carolina 3
Binghamton University State University of New York 3
University of Notre Dame 3
University of St Andrews 3
Telcordia Technologies, Inc. 3
Shanghai Jiaotong University 3
University Michigan Ann Arbor 3
University of Nebraska - Lincoln 3
Institute for Research in IT and Random Systems 3
Palo Alto Research Center 3
Swedish Institute of Computer Science 3
University at Buffalo, State University of New York 3
Indian Institute of Technology, Delhi 3
Intel Corporation 3
Bell Labs Research Center, India 3
Singapore University of Technology and Design 3
Electronics Telecommunication Research Institute 4
Iowa State University 4
Yale University 4
University of Minnesota System 4
University of Pennsylvania 4
University of California, Irvine 4
University of Bonn 4
University of Texas at Austin 4
INRIA Institut National de Rechereche en Informatique et en Automatique 4
Polytechnic Institute of Porto 4
Peking University 4
Central South University China 4
George Mason University 4
Chinese Academy of Sciences 4
Harbin Institute of Technology 4
Royal Holloway University of London 4
Naval Undersea Warfare Center Newport Beach 4
University of Maryland, Baltimore County 4
University of Utah 4
University of Sydney 4
Vrije Universiteit Brussel 4
Virginia Tech 4
Ben-Gurion University of the Negev 4
University of Ottawa, Canada 4
California Institute of Technology 4
Pontifical Catholic University of Rio de Janeiro 4
U.S. Army Research Laboratory 4
Institute for Infocomm Research, A-Star, Singapore 5
Johns Hopkins University 5
Rice University 5
Google Inc. 5
Hebrew University of Jerusalem 5
Duke University 5
Wayne State University 5
Technical University of Darmstadt 5
Georgia State University 5
University of Warsaw 5
Beihang University 5
University of Massachusetts Amherst 5
University of Tennessee, Knoxville 5
University of Trento 5
Simon Fraser University 5
Microsoft Research 5
Politecnico di Milano 5
Motorola 5
University College Cork 5
Huazhong University of Science and Technology 5
Stevens Institute of Technology 5
Northeastern University 5
University of Cambridge 5
University of Wisconsin Madison 5
Centre de Recherche sur l'Information Scientifique et Technique (CERIST) 5
University of Cyprus 5
University of Erlangen-Nuremberg 6
University of Michigan 6
Cornell University 6
Harvard University 6
IBM Thomas J. Watson Research Center 6
National Tsing Hua University 6
University of Coimbra 6
New Jersey Institute of Technology 6
Missouri University of Science and Technology 6
Swiss Federal Institute of Technology, Zurich 6
University of Illinois at Chicago 6
Carnegie Mellon University 6
Swiss Federal Institute of Technology, Lausanne 6
University of California, Riverside 6
Syracuse University 6
CSIRO Ict Centre 7
Royal Institute of Technology 7
Louisiana State University 7
Universitat Politecnica de Catalunya 7
Dartmouth College 7
The College of William and Mary 7
University of Maryland 7
Lancaster University 7
Oak Ridge National Laboratory 7
Tsinghua University 7
Microsoft 7
University of Oxford 7
University of New South Wales 7
University of Memphis 7
University of Minnesota Twin Cities 7
Eindhoven University of Technology 7
Illinois Institute of Technology 8
Arizona State University 8
City University of New York 8
University of Arizona 8
University of California, San Diego 8
University of Roma La Sapienza 8
University of Houston 9
Hong Kong University of Science and Technology 9
National Chiao Tung University Taiwan 9
City University of Hong Kong 9
Indian Institute of Science 9
University of Washington Seattle 9
Massachusetts Institute of Technology 9
University of Southampton 9
Rensselaer Polytechnic Institute 9
Rutgers University 9
Nanjing University 9
Texas A and M University 10
National Taiwan University 11
Technical University in Braunschweig 11
Nanyang Technological University 12
University of California , Merced 12
Washington University in St. Louis 12
University of Florida 12
Boston University 12
University of Twente 12
University of Melbourne 12
University of Texas at Arlington 13
University College Dublin 13
Hong Kong Polytechnic University 13
Indian Institute of Technology, Bombay 13
University of Rochester 13
Commonwealth Scientific and Industrial Research Organization 13
Ghent University 13
Vanderbilt University 14
Pennsylvania State University 15
North Carolina State University 16
Columbia University 17
Stanford University 18
University of California, Berkeley 18
Georgia Institute of Technology 19
Zhejiang University 20
Ohio State University 24
University of California, Santa Barbara 24
University of Southern California 24
Stony Brook University 27
Michigan State University 35
Purdue University 36
University of Virginia 40
University of Illinois at Urbana-Champaign 43
University of California, Los Angeles 58
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