Energy-aware distributed topology control for coverage-time optimization in clustering-based heterogeneous sensor networks

Joongheon Kim, Jihoon Choi, Wonjun Lee

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

11 Citations (Scopus)

Abstract

This paper proposes an energy-aware distributed topology control (EDTC) algorithm for coverage-time optimization unique to clustering-based heterogeneous sensor networks. The coverage-time is defined as the time until one of cluster heads (CHs) runs out of energy. CHs which are operated by EDTC move virtual picket nodes, indicators that determine the boundaries of cluster regions, for the load-balanced regulation of cluster regions in a distributed manner. Regulation of cluster regions leads the load-balanced energy consumption of CH which is in the region for coverage-time maximization. Through a performance evaluation of EDTC, we show that our algorithm for clustering-based heterogeneous sensor networks achieves desired properties.

Original languageEnglish
Title of host publicationIEEE Vehicular Technology Conference
Pages1033-1037
Number of pages5
Volume3
Publication statusPublished - 2006 Dec 1
Event2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring - Melbourne, Australia
Duration: 2006 May 72006 Jul 10

Other

Other2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring
CountryAustralia
CityMelbourne
Period06/5/706/7/10

Keywords

  • Distributed scheme
  • Energy-efficiency
  • Heterogeneous structure
  • Load-balancing
  • Sensor networks
  • Topology control

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • Cite this

    Kim, J., Choi, J., & Lee, W. (2006). Energy-aware distributed topology control for coverage-time optimization in clustering-based heterogeneous sensor networks. In IEEE Vehicular Technology Conference (Vol. 3, pp. 1033-1037). [1682991]