• DocumentCode
    3282570
  • Title

    A novel coverage-preserving algorithm with energy efficiency

  • Author

    Chen, Chia-Pang ; Chuang, Cheng-Long ; Lin, Tzu-Shiang ; Liu, Chang-Wang ; Liao, Kuo-Chi ; Shieh, Jyh-Cherng ; Jiang, Joe-Air

  • Author_Institution
    Dept. of Bio-Ind. Mechatron. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • fYear
    2009
  • fDate
    25-28 Oct. 2009
  • Firstpage
    568
  • Lastpage
    571
  • Abstract
    Deploying wireless sensor networks (WSNs) has been an area of interest in recent years. Adoption of WSNs with energy efficiency is a critical issue since the energy of sensor nodes is usually rather limited. Energy-efficient coverage control is regarded as an essential factor influencing the performance of WSNs. Coverage might gradually degrade after the activation of WSNs. Thus, a novel coverage-preserving algorithm (CPA) that is able to prolong the lifetime and to maximize the coverage is proposed in this study. The new scheme turns redundant nodes off according to the optimal arrangement based on a Memetic Algorithm (MA), and awakens some inactive nodes at proper time to recover the lost coverage due to the node failure or energy exhaustion. Simulation results via a cluster-based WSN (CWSN) show that the performance of the suggested algorithm is promising in terms of energy efficiency and coverage preservation.
  • Keywords
    energy conservation; wireless sensor networks; cluster-based WSN; coverage-preserving algorithm; energy efficiency; energy exhaustion; memetic algorithm; node failure; sensor nodes; wireless sensor networks; Acoustic sensors; Acoustic waves; Base stations; Clustering algorithms; Energy consumption; Energy efficiency; Gas detectors; Intelligent sensors; Monitoring; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensors, 2009 IEEE
  • Conference_Location
    Christchurch
  • ISSN
    1930-0395
  • Print_ISBN
    978-1-4244-4548-6
  • Electronic_ISBN
    1930-0395
  • Type

    conf

  • DOI
    10.1109/ICSENS.2009.5398307
  • Filename
    5398307