Co-Grid: An efficient coverage maintenance protocol for distributed sensor networks

  • Guoliang Xing
  • , Chenyang Lu
  • , Robert Pless
  • , Joseph A. O'Sullivan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

58 Scopus citations

Abstract

Wireless sensor networks often face the critical challenge of sustaining long-term operation on limited battery energy. Coverage maintenance protocols can effectively prolong network lifetime by maintaining sufficient sensing coverage over a region using a small number of active nodes while scheduling the others to sleep. We present a novel distributed coverage maintenance protocol called the Coordinating Grid (Co-Grid). In contrast to existing coverage maintenance protocols which are based on simpler detection models, Co-Grid adopts a distributed detection model based on data fusion that is more consistent with many distributed sensing applications. Co-Grid organizes the network into coordinating fusion groups located on overlapping virtual grids. Through coordination among neighboring fusion groups, Co-Grid can achieve comparable number of active nodes as a centralized algorithm, while reducing the network (re-)configuration time by orders of magnitude. CoGrid is especially suitable for large and energy-constrained sensor networks that require quick (re-)configuration in response to node failures and environmental changes. We validate our claims by both theoretical analysis and simulations.

Original languageEnglish
Title of host publicationThird International Symposium on Information Processing in Sensor Networks, IPSN 2004
Pages414-423
Number of pages10
StatePublished - 2004
EventThird International Symposium on Information Processing in Sensor Networks, IPSN 2004 - Berkeley, CA., United States
Duration: Apr 26 2004Apr 27 2004

Publication series

NameThird International Symposium on Information Processing in Sensor Networks, IPSN 2004

Conference

ConferenceThird International Symposium on Information Processing in Sensor Networks, IPSN 2004
Country/TerritoryUnited States
CityBerkeley, CA.
Period04/26/0404/27/04

Keywords

  • Coverage
  • Data Fusion
  • Distributed Detection
  • Energy Conservation
  • Sensor Networks

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