Energy-efficiency method for cluster-based sensor networks

  • Authors:
  • Kyung-Won Nam;Jun Hwang;Cheol-Min Park;Young-Chan Kim

  • Affiliations:
  • System Software Lab, Dept. of Computer Science & Engineering, Chung-Ang Univ., Seoul, Republic of Korea;Dept. of Information & Media, Seoul Woman's Univ., Seoul, Republic of Korea;System Software Lab, Dept. of Computer Science & Engineering, Chung-Ang Univ., Seoul, Republic of Korea;System Software Lab, Dept. of Computer Science & Engineering, Chung-Ang Univ., Seoul, Republic of Korea

  • Venue:
  • ICCSA'05 Proceedings of the 2005 international conference on Computational Science and its Applications - Volume Part I
  • Year:
  • 2005

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Abstract

Wireless sensor networks have recently emerged as an important computing platform. The sensors in this system are power-limited and have limited computing resources. Therefore sensors' energy has to be managed wisely in order to maximize the lifetime of the network. There have been many studies on considering sensors' energy. Among these, clustering sensor nodes is more efficient and adaptive approach in sensor networks. Based on this approach, we introduce a method that prolongs the network lifetime. The method is that a cluster-head with less-energy-constraint, distributes energy load evenly among its members based on their energy usage by sub-clustering. The simulation result shows that the proposed method in this paper has achieved better performance than other clustering method in the lifetime of the network.