A self-adaptive clustering algorithm for wireless sensor network

  • Authors:
  • Huan Yan;Zun-wen He;Jian-guang Jia

  • Affiliations:
  • Modern Communication Lab, Dept. of E.E., Beijing Institute of Technology, Beijing, China;Modern Communication Lab, Dept. of E.E., Beijing Institute of Technology, Beijing, China;Modern Communication Lab, Dept. of E.E., Beijing Institute of Technology, Beijing, China

  • Venue:
  • WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

The network routing could be simplified by clustering algorithm in wireless sensor network (WSN). Aimed at the occasion with a large amount of nodes but without whole-network time synchronization mechanism, a self-adaptive clustering algorithm for network topology control is proposed. In this algorithm, the cluster structure can be adjusted automatically according to the nodes distribution and network traffic. By adopting loop-avoidance mechanism, the correctness of routing selection is ensured when adjusting the cluster structure. The simulation results demonstrate that the proposed algorithm can reach the expected effect of self-adjustment.