Particle swarm optimization for the minimum energy broadcast problem in wireless ad-hoc networks

Ping Che Hsiao, Tsung Che Chiang, Li Chen Fu

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

14 Citations (Scopus)

Abstract

In this paper, we propose a novel approach based on particle swarm optimization (PSO) for solving the minimum energy broadcast (MEB) problem, which has been proven to be NP-complete. Wireless sensor networks (WSNs) have attracted large intention in recent years due to its powerful ability. One crucial issue in WSN is energy saving because of the limited battery resource. The MEB problem is one of the important scenarios in WSN, where a node needs to broadcast packets to all other nodes in the network. The objective is to minimize power consumption of all nodes in the network. Here we take advantage of fast and guided convergence characteristics of PSO to solve the MEB problem. For applying PSO to the MEB problem, we use the power degree to define the particle position. We go a step further to analyze one well-known local search mechanism: r-shrink and propose an improved version. The experimental results show that the proposed approach is able to compete and even outperform state-of-the-art works.

Original languageEnglish
Title of host publication2012 IEEE Congress on Evolutionary Computation, CEC 2012
DOIs
Publication statusPublished - 2012
Event2012 IEEE Congress on Evolutionary Computation, CEC 2012 - Brisbane, QLD, Australia
Duration: 2012 Jun 102012 Jun 15

Other

Other2012 IEEE Congress on Evolutionary Computation, CEC 2012
CountryAustralia
CityBrisbane, QLD
Period12/6/1012/6/15

Keywords

  • Minimum Energy Broadcast Problem
  • Minimum Power Broadcast Problem
  • Network Routing
  • Particle Swarm Optimizatioin
  • Wireless Ad-Hoc Networks
  • Wireless Sensor Networks

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Theoretical Computer Science

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  • Cite this

    Hsiao, P. C., Chiang, T. C., & Fu, L. C. (2012). Particle swarm optimization for the minimum energy broadcast problem in wireless ad-hoc networks. In 2012 IEEE Congress on Evolutionary Computation, CEC 2012 [6252949] https://doi.org/10.1109/CEC.2012.6252949