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Integrated coverage and connectivity configuration in wireless sensor networks (2003)
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| Venue: | In SenSys ’03: Proceedings of the 1st international |
| Citations: | 314 - 16 self |
BibTeX
@INPROCEEDINGS{Wang03integratedcoverage,
author = {Xiaorui Wang and Guoliang Xing and Yuanfang Zhang and Chenyang Lu and Robert Pless and Christopher Gill},
title = {Integrated coverage and connectivity configuration in wireless sensor networks},
booktitle = {In SenSys ’03: Proceedings of the 1st international},
year = {2003},
pages = {28--39}
}
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Abstract
An effective approach for energy conservation in wireless sensor networks is scheduling sleep intervals for extraneous nodes, while the remaining nodes stay active to provide continuous service. For the sensor network to operate successfully, the active nodes must maintain both sensing coverage and network connectivity. Furthermore, the network must be able to configure itself to any feasible degrees of coverage and connectivity in order to support different applications and environments with diverse requirements. This paper presents the design and analysis of novel protocols that can dynamically configure a network to achieve guaranteed degrees of coverage and connectivity. This work differs from existing connectivity or coverage maintenance protocols in several key ways: 1) We present a Coverage Configuration Protocol (CCP) that can provide different degrees of coverage requested by applications. This flexibility allows the network to self-configure for a wide range of applications and (possibly dynamic) environments. 2) We provide a geometric analysis of the relationship between coverage and connectivity. This analysis yields key insights for treating coverage and connectivity in a unified framework: this is in sharp contrast to several existing approaches that address the two problems in isolation. 3) Finally, we integrate CCP with SPAN to provide both coverage and connectivity guarantees. We demonstrate the capability of our protocols to provide guaranteed coverage and connectivity configurations, through both geometric analysis and extensive simulations.
Keyphrases
wireless sensor network connectivity configuration geometric analysis network connectivity work differs different degree sensor network coverage configuration protocol sharp contrast key insight coverage maintenance protocol sleep interval novel protocol connectivity guarantee energy conservation feasible degree diverse requirement sensing coverage extensive simulation effective approach different application extraneous node active node continuous service unified framework wide range several key way
