Self-organization of sensor networks using genetic algorithms

Rahul Khanna, Huaping Liu, Hsiao Hwa Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

43 Citations (Scopus)

Abstract

In this paper we propose a reduced-complexity genetic algorithm for optimization of multi-hop sensor networks. The goal of the system is to generate optimal number of sensor-clusters with cluster-heads. It results in minimization of the power-consumption of the sensor-system while maximizing the sensor objectives (coverage and exposure). The genetic algorithm is used to adaptively create various components such as cluster-members, cluster-heads, and next-cluster. These components are then used to evaluate the average fitness of the system based on the sequence of communication links towards the sink.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Communications, ICC 2006
Pages3377-3382
Number of pages6
DOIs
Publication statusPublished - 2006
Event2006 IEEE International Conference on Communications, ICC 2006 - Istanbul, Turkey
Duration: 2006 Jul 112006 Jul 15

Publication series

NameIEEE International Conference on Communications
Volume8
ISSN (Print)0536-1486

Other

Other2006 IEEE International Conference on Communications, ICC 2006
CountryTurkey
CityIstanbul
Period06-07-1106-07-15

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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