Opportunistic sensing in wireless sensor networks: Theory and application

Qilian Liang; Xiuzhen Cheng; Dechang Chen

doi:10.1109/GLOCOM.2011.6134471

Opportunistic sensing in wireless sensor networks: Theory and application

Qilian Liang^*, Xiuzhen Cheng, Dechang Chen

^*Corresponding author for this work

Epidemiology and Biostatistics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

Opportunistic Sensing (OS) refers to a paradigm for signal and information processing in which a network of sensing systems can automatically discover and select sensor platforms based on an operational scenario. In this paper, we propose theory and algorithms of OS for advancing autonomous sensing that not only ensures effective utilization of sensing assets but also provides robust optimal performance. We propose an information theoretical criterion for opportunistic sensing in wireless sensor networks and derive an algorithm for efficient OS. We apply our OS algorithm to radar sensor networks for sense-through-foliage target detection, and show that our OS algorithm works very well and much better than other approach.

Original language	English
Title of host publication	2011 IEEE Global Telecommunications Conference, GLOBECOM 2011
DOIs	https://doi.org/10.1109/GLOCOM.2011.6134471
State	Published - 2011
Event	54th Annual IEEE Global Telecommunications Conference: "Energizing Global Communications", GLOBECOM 2011 - Houston, TX, United States Duration: 5 Dec 2011 → 9 Dec 2011

Publication series

Name	GLOBECOM - IEEE Global Telecommunications Conference

Conference

Conference	54th Annual IEEE Global Telecommunications Conference: "Energizing Global Communications", GLOBECOM 2011
Country/Territory	United States
City	Houston, TX
Period	5/12/11 → 9/12/11

Keywords

Opportunistic sensing
radar sensor networks
rate distortion
sense-through-foliage
UWB

Access to Document

10.1109/GLOCOM.2011.6134471

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title = "Opportunistic sensing in wireless sensor networks: Theory and application",

abstract = "Opportunistic Sensing (OS) refers to a paradigm for signal and information processing in which a network of sensing systems can automatically discover and select sensor platforms based on an operational scenario. In this paper, we propose theory and algorithms of OS for advancing autonomous sensing that not only ensures effective utilization of sensing assets but also provides robust optimal performance. We propose an information theoretical criterion for opportunistic sensing in wireless sensor networks and derive an algorithm for efficient OS. We apply our OS algorithm to radar sensor networks for sense-through-foliage target detection, and show that our OS algorithm works very well and much better than other approach.",

keywords = "Opportunistic sensing, radar sensor networks, rate distortion, sense-through-foliage, UWB",

author = "Qilian Liang and Xiuzhen Cheng and Dechang Chen",

year = "2011",

doi = "10.1109/GLOCOM.2011.6134471",

language = "English",

isbn = "9781424492688",

series = "GLOBECOM - IEEE Global Telecommunications Conference",

booktitle = "2011 IEEE Global Telecommunications Conference, GLOBECOM 2011",

note = "null ; Conference date: 05-12-2011 Through 09-12-2011",

}

Liang, Q, Cheng, X & Chen, D 2011, Opportunistic sensing in wireless sensor networks: Theory and application. in 2011 IEEE Global Telecommunications Conference, GLOBECOM 2011., 6134471, GLOBECOM - IEEE Global Telecommunications Conference, 54th Annual IEEE Global Telecommunications Conference: "Energizing Global Communications", GLOBECOM 2011, Houston, TX, United States, 5/12/11. https://doi.org/10.1109/GLOCOM.2011.6134471

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T1 - Opportunistic sensing in wireless sensor networks

AU - Liang, Qilian

AU - Cheng, Xiuzhen

AU - Chen, Dechang

PY - 2011

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N2 - Opportunistic Sensing (OS) refers to a paradigm for signal and information processing in which a network of sensing systems can automatically discover and select sensor platforms based on an operational scenario. In this paper, we propose theory and algorithms of OS for advancing autonomous sensing that not only ensures effective utilization of sensing assets but also provides robust optimal performance. We propose an information theoretical criterion for opportunistic sensing in wireless sensor networks and derive an algorithm for efficient OS. We apply our OS algorithm to radar sensor networks for sense-through-foliage target detection, and show that our OS algorithm works very well and much better than other approach.

AB - Opportunistic Sensing (OS) refers to a paradigm for signal and information processing in which a network of sensing systems can automatically discover and select sensor platforms based on an operational scenario. In this paper, we propose theory and algorithms of OS for advancing autonomous sensing that not only ensures effective utilization of sensing assets but also provides robust optimal performance. We propose an information theoretical criterion for opportunistic sensing in wireless sensor networks and derive an algorithm for efficient OS. We apply our OS algorithm to radar sensor networks for sense-through-foliage target detection, and show that our OS algorithm works very well and much better than other approach.

KW - Opportunistic sensing

KW - radar sensor networks

KW - rate distortion

KW - sense-through-foliage

KW - UWB

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DO - 10.1109/GLOCOM.2011.6134471

M3 - Conference contribution

AN - SCOPUS:84863121850

SN - 9781424492688

T3 - GLOBECOM - IEEE Global Telecommunications Conference

BT - 2011 IEEE Global Telecommunications Conference, GLOBECOM 2011

Y2 - 5 December 2011 through 9 December 2011

ER -

Opportunistic sensing in wireless sensor networks: Theory and application

Abstract

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Keywords

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