Is sensor deployment using Gaussian distribution energy balanced?

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

Abstract

Energy is one of the scarcest resources in wireless sensor network (WSN). One fundamental way of conserving energy is judicious deployment of sensor nodes within the network area so that energy flow remains balanced throughout the network. Node deployment using Gaussian distribution is a standard practice and is widely acceptable when random deployment is used. Initially, an analysis is done to establish that Gaussian distribution based node deployment is not energy balanced. Standard deviation has been identified as the parameter responsible for energy balancing. A deployment strategy is proposed for energy balancing using customized Gaussian distribution by discretizing the standard deviation. Performance of the deployment scheme is evaluated in terms of energy balance and network lifetime. Simulation results demonstrate that proposed deployment strategy significantly outperforms conventional Gaussian distribution based node deployment scheme in terms of the two performance metrics.

Original languageEnglish
Title of host publicationAlgorithms and Architectures for Parallel Processing - 13th International Conference, ICA3PP 2013, Proceedings
Pages58-71
Number of pages14
EditionPART 1
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event13th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2013 - Vietri sul Mare, Italy
Duration: 18 Dec 201320 Dec 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume8285 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2013
Country/TerritoryItaly
CityVietri sul Mare
Period18/12/1320/12/13

Keywords

  • Energy hole
  • Gaussian distribution
  • Network lifetime
  • Node deployment
  • Wireless sensor network

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