Distributed compression-estimation using wireless sensor networks -- The design goals of performance, bandwidth efficiency, scalability, and robustness (2006)
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| Venue: | IEEE SIGNAL PROCESSING MAG |
| Citations: | 78 - 1 self |
BibTeX
@ARTICLE{Xiao06distributedcompression-estimation,
author = {Jin-jun Xiao and Alejandro Ribeiro and Zhi-quan Luo and et al.},
title = {Distributed compression-estimation using wireless sensor networks -- The design goals of performance, bandwidth efficiency, scalability, and robustness},
journal = {IEEE SIGNAL PROCESSING MAG},
year = {2006},
volume = {23},
pages = {27--41}
}
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Abstract
A wireless sensor network (WSN) consists of a large number of spatially distributed signal processing devices (nodes), each with finite battery lifetime and thus limited computing and communication capabilities. When properly programmed and networked, nodes in a WSN can cooperate to perform advanced signal processing tasks with unprecedented robustness and versatility, thus making WSN an attractive low-cost technology for a wide range of remote sensing and environmental monitoring applications [1], [32].
Keyphrases
design goal wireless sensor bandwidth efficiency signal processing device attractive low-cost technology limited computing wireless sensor network remote sensing communication capability finite battery lifetime unprecedented robustness advanced signal processing task large number environmental monitoring application wide range
