Energy-aware topology control for wireless sensor networks using memetic algorithms

Andreas Konstantinidis, Kun Yang, Hsiao Hwa Chen, Qingfu Zhang

Research output: Contribution to journalArticle

46 Citations (Scopus)

Abstract

Cost-effective topology control is critical in wireless sensor networks. While much research has been carried out in this aspect using various methods, no attention has been made on utilizing modern heuristics for this purpose. This paper proposes a memetic algorithm-based solution for energy-aware topology control for wireless sensor networks. This algorithm (called ToCMA), using a combination of problem-specific light-weighted local search and genetic algorithms, is able to solve the minimum energy network connectivity (MENC) this NP-hard problem in an approximated manner that performs better than the classical minimum spanning tree (MST) solution. The outcomes of ToCMA can also be utilized for various network optimization and fault-tolerant purposes.

Original languageEnglish
Pages (from-to)2753-2764
Number of pages12
JournalComputer Communications
Volume30
Issue number14-15
DOIs
Publication statusPublished - 2007 Oct 15

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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