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Real-time information processing of environmental sensor network data using bayesian gaussian processes
Michael A. Osborne, Stephen J. Roberts, Alex Rogers, Nicholas R. Jennings
Article No.: 1
In this article, we consider the problem faced by a sensor network operator who must infer, in real time, the value of some environmental parameter that is being monitored at discrete points in space and time by a sensor network. We describe a...
Sampling and classifying interference patterns in a wireless sensor network
Nicholas M. Boers, Ioanis Nikolaidis, Pawel Gburzynski
Article No.: 2
The low-powered transmissions in a wireless sensor network (WSN) are highly susceptible to interference from external sources. Our work is a step towards enabling WSN devices to better understand the interference in their environment so that they...
Analysis of capacity improvement by directional antennas in wireless sensor networks
Jun Zhang, Xiaohua Jia, Yuan Zhou
Article No.: 3
In this article we analyze capacity improvement by directional antennas over omni antennas in wireless sensor networks. The capacity in our analysis is the end-to-end per-node throughput. We analyze the typical traffic pattern for sensor networks,...
Distributed state estimation in sensor networks with randomly occurring nonlinearities subject to time delays
Jinling Liang, Zidong Wang, Bo Shen, Xiaohui Liu
Article No.: 4
This article is concerned with a new distributed state estimation problem for a class of dynamical systems in sensor networks. The target plant is described by a set of differential equations disturbed by a Brownian motion and randomly occurring...
A new data aggregation scheme via adaptive compression for wireless sensor networks
Priya Kasirajan, Carl Larsen, S. Jagannathan
Article No.: 5
Data aggregation is necessary for extending the network lifetime of wireless sensor nodes with limited processing and power capabilities, since energy expended in transmitting a single data bit would be at least several orders of magnitude higher...
Traffic modeling and prediction using sensor networks: Who will go where and when?
Zaihong Shuai, Sangseok Yoon, Songhwai Oh, Ming-Hsuan Yang
Article No.: 6
We propose a probabilistic framework for modeling and predicting traffic patterns using information obtained from wireless sensor networks. For concreteness, we apply the proposed framework to a smart building application in which traffic patterns...
Self-healing in unattended wireless sensor networks
Roberto Di Pietro, Di Ma, Claudio Soriente, Gene Tsudik
Article No.: 7
Wireless sensor networks (WSNs) appeal to a wide range of applications that involve the monitoring of various physical phenomena. However, WSNs are subject to many threats. In particular, lack of pervasive tamper-resistant hardware results in...
A longitudinal study of vibration-based water flow sensing
Younghun Kim, Heemin Park, Mani B. Srivastava
Article No.: 8
We present a long-term and cross-sectional study of a vibration-based water flow rate monitoring system in practical environments and scenarios. In our earlier research, we proved that a water flow monitoring system with vibration sensors is...
A practical theory of micro-solar power sensor networks
Jaein Jeong, David Culler
Article No.: 9
Building a micro-solar power system is challenging because it must address long-term system behavior under highly variable solar energy and consider a large design space. We develop a practical theory of micro-solar power systems that is...