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Adaptive-weighted clustering algorithm based on flow balance for mobile ad hoc networks

ZHANG Li1,2;YU Zhen-wei1;ZHANG Yang3
  

  1. (1. School of Mechanical Electronic & Information Eng., China Univ. of Mining and Technology, Beijing 100083, China;
    2. School of Computer Sci. and Tech., Henan Polytechnic Univ., Jiaozuo 454003, China;
    3. Dept. of Aviation Electron Eng., The First Aeronautic Eng. Inst. of the Air Force, Xinyang 464000, China)
  • Received:1900-01-01 Revised:1900-01-01 Online:2008-06-20 Published:2008-05-30
  • Contact: ZHANG Li E-mail:zhanglily66@126.com

Abstract: To solve the stability issue of clustered mobile ad hoc networks, a weighted clustering algorithm is proposed, based on the theory of the network flow balance. The algorithm chooses cluster heads relying on the adaptive weight, and dynamically clusters the mobile nodes distributed randomly and clinging to the network conditions and nodes’ state. Clusters are optimized according to the scalable degree. Simulation results show that, in the condition of maintaining the former expenses, the algorithm could balance the load of cluster heads, and prevent the cluster heads from becoming the bottleneck effectively.

Key words: ad hoc networks, architecture, clustering algorithm, flow balance, dynamic adaptability

CLC Number: 

  • TP393