Sensor Networks (TOSN)


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ACM Transactions on Sensor Networks (TOSN), Volume 8 Issue 4, September 2012

PIP: A multichannel, TDMA-based MAC for efficient and scalable bulk transfer in sensor networks
Vijay Gabale, Kameswari Chebrolu, Bhaskaran Raman, Sagar Bijwe
Article No.: 28
DOI: 10.1145/2240116.2240117

In this article, we consider the goal of achieving high throughput in a wireless sensor network. Our work is set in the context of those wireless sensor network applications which collect and transfer bulk data. We present PIP (Packets in Pipe), a...

WILDSENSING: Design and deployment of a sustainable sensor network for wildlife monitoring
Vladimir Dyo, Stephen A. Ellwood, David W. Macdonald, Andrew Markham, Niki Trigoni, Ricklef Wohlers, Cecilia Mascolo, Bence Pásztor, Salvatore Scellato, Kharsim Yousef
Article No.: 29
DOI: 10.1145/2240116.2240118

The increasing adoption of wireless sensor network technology in a variety of applications, from agricultural to volcanic monitoring, has demonstrated their ability to gather data with unprecedented sensing capabilities and deliver it to a remote...

A-MAC: A versatile and efficient receiver-initiated link layer for low-power wireless
Prabal Dutta, Stephen Dawson-Haggerty, Yin Chen, Chieh-Jan Mike Liang, Andreas Terzis
Article No.: 30
DOI: 10.1145/2240116.2240119

We present A-MAC, a receiver-initiated link layer for low-power wireless networks that supports several services under a unified architecture, and does so more efficiently and scalably than prior approaches. A-MAC's versatility stems from layering...

AutoWitness: Locating and tracking stolen property while tolerating GPS and radio outages
Santanu Guha, Kurt Plarre, Daniel Lissner, Somnath Mitra, Bhagavathy Krishna, Prabal Dutta, Santosh Kumar
Article No.: 31
DOI: 10.1145/2240116.2240120

We present AutoWitness, a system to deter, detect, and track personal property theft, improve historically dismal stolen property recovery rates, and disrupt stolen property distribution networks. A property owner embeds a small tag inside the...

Achieving long-term operation with a capacitor-driven energy storage and sharing network
Ting Zhu, Yu Gu, Tian He, Zhi-Li Zhang
Article No.: 32
DOI: 10.1145/2240116.2240121

Energy is the most precious resource in sensor networks. The ability to move energy around makes it feasible to build distributed energy storage systems that can robustly extend the lifetime of networked sensor systems. eShare supports the...

In-situ soil moisture sensing: Optimal sensor placement and field estimation
Xiaopei Wu, Mingyan Liu, Yue Wu
Article No.: 33
DOI: 10.1145/2240116.2240122

We study the problem of optimal sensor placement in the context of soil moisture sensing. We show that the soil moisture data possesses some unique features that can be used together with the commonly used Gaussian assumption to construct more...

Radio link quality estimation in wireless sensor networks: A survey
Nouha Baccour, Anis Koubâa, Luca Mottola, Marco Antonio Zúñiga, Habib Youssef, Carlo Alberto Boano, Mário Alves
Article No.: 34
DOI: 10.1145/2240116.2240123

Radio link quality estimation in Wireless Sensor Networks (WSNs) has a fundamental impact on the network performance and also affects the design of higher-layer protocols. Therefore, for about a decade, it has been attracting a vast array of...

Theory and algorithms for hop-count-based localization with random geometric graph models of dense sensor networks
Swaprava Nath, Venkatesan N. Ekambaram, Anurag Kumar, P. Vijay Kumar
Article No.: 35
DOI: 10.1145/2240116.2240124

Wireless sensor networks can often be viewed in terms of a uniform deployment of a large number of nodes in a region of Euclidean space. Following deployment, the nodes self-organize into a mesh topology with a key aspect being...

A novel framework for energy-efficient data gathering with random coverage in wireless sensor networks
Wook Choi, Giacomo Ghidini, Sajal K. Das
Article No.: 36
DOI: 10.1145/2240116.2240125

In wireless sensor networks, different applications feature different requirements in terms of such performance metrics as sensing coverage and data reporting latency. In most applications, it is usually sufficient to provide a Desired Sensing...