A coverage and energy aware cluster-head selection algorithm in wireless sensor networks

  • Authors:
  • Thao P. Nghiem;Jong Hyun Kim;Sun Ho Lee;Tae Ho Cho

  • Affiliations:
  • School of Information and Communication Engineering, Sungkyunkwan University, Suwon, Republic of Korea;School of Information and Communication Engineering, Sungkyunkwan University, Suwon, Republic of Korea;School of Information and Communication Engineering, Sungkyunkwan University, Suwon, Republic of Korea;School of Information and Communication Engineering, Sungkyunkwan University, Suwon, Republic of Korea

  • Venue:
  • ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
  • Year:
  • 2009

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Abstract

The issue of identifying appropriate cluster-heads has recently been the focus of extensive research and development in wireless sensor networks. Unfortunately, cluster-heads are generally chosen either in a random manner or mainly based on nodes' residual energy. Accordingly, there is no guarantee that network coverage is well-preserved while this QoS is vital in target tracking and surveillance applications. In order to enhance both coverage preservation and energy efficiency, we propose a Coverage and Energy Aware Cluster-Head Selection Algorithm which fully considers three critical factors: the node's energy, location and especially coverage cost metric. Simulation results demonstrate that our algorithm cannot only prolong the network lifetime over 11%, but also substantially enlarge network coverage, from the middle phase of the network lifetime, by over 20% compared to the traditional energy-based selection methods in LEACH and HYENAS system.