Coverage analysis for wireless sensor networks

Ming Liu, Jiannong Cao, Wei Lou, Li Jun Chen, Xie Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

28 Citations (Scopus)

Abstract

The coverage problem in wireless sensor networks (WSNs) is to determine the number of active sensor nodes needed to cover the sensing area. The purpose is to extend the lifetime of the WSN by turning off redundant nodes. In this paper, we propose a mathematical model for coverage analysis of WSNs. Based on the model, given the ratio of the sensing range of a sensor node to the range of the entire deployment area, the number of the active nodes needed to reach the expected coverage can be derived. Different from most existing works, our approach does not require the knowledge about the locations of sensor nodes, thus can save considerably the cost of hardware and the energy consumption on sensor nodes needed for deriving and maintaining location information. We have also carried out an experimental study by simulations. The analytical results are very close to the simulations results. The proposed method can be widely applied to designing protocols for handling sensor deployment, topology control and other issues in WSNs.
Original languageEnglish
Title of host publicationMobile Ad-hoc and Sensor Networks - First International Conference, MSN 2005, Proceedings
Pages711-720
Number of pages10
Publication statusPublished - 1 Dec 2005
Event1st International Conference on Mobile Ad-hoc and Sensor Networks, MSN 2005 - Wuhan, China
Duration: 13 Dec 200515 Dec 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3794 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Conference on Mobile Ad-hoc and Sensor Networks, MSN 2005
Country/TerritoryChina
CityWuhan
Period13/12/0515/12/05

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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