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

    14 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 publication2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring - Proceedings
    Pages1033-1037
    Number of pages5
    Publication statusPublished - 2006
    Event2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring - Melbourne, Australia
    Duration: 2006 May 72006 Jul 10

    Publication series

    NameIEEE Vehicular Technology Conference
    Volume3
    ISSN (Print)1550-2252

    Other

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

    Keywords

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

    ASJC Scopus subject areas

    • Computer Science Applications
    • Electrical and Electronic Engineering
    • Applied Mathematics

    Fingerprint

    Dive into the research topics of 'Energy-aware distributed topology control for coverage-time optimization in clustering-based heterogeneous sensor networks'. Together they form a unique fingerprint.

    Cite this