A distributed power-efficient data gathering and aggregation protocol for wireless sensor networks

Ming Liu, Jiannong Cao, Hai Gang Gong, Li Jun Chen, Xie Li

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

3 Citations (Scopus)

Abstract

In this paper, we propose a distributed power-efficient data gathering and aggregation algorithm (DPEG), in which a node, according to its residual energy and the strength of signal received from its neighboring nodes, independently makes its decision to compete for becoming a cluster head. In addition, assume that the inter-cluster communication data is, in a multi-hop manner, sent to the designated node, which then sends the data gathered by the whole network to the base station. DPEG also proposes a simple approach to solve the cluster coverage problem. With the increase in node density, this approach lets sensor network lifetime be linear in the number of nodes. Our experimental results have proved that DPEG algorithm, in the best case, lets sensor network lifetime be respectively increased by 1800% and 300% as compared with another two data gathering and aggregation protocols - LEACH and PEGASIS.
Original languageEnglish
Title of host publicationParallel and Distributed Processing and Applications - Third International Symposium, ISPA 2005, Proceedings
Pages743-756
Number of pages14
Publication statusPublished - 1 Dec 2005
Event3rd International Symposium on Parallel and Distributed Processing and Applications, ISPA 2005 - Nanjing, China
Duration: 2 Nov 20055 Nov 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3758 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Symposium on Parallel and Distributed Processing and Applications, ISPA 2005
Country/TerritoryChina
CityNanjing
Period2/11/055/11/05

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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