Weighted fuzzy clustering strategy for wireless sensor networks based on the neighbor potential function
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摘要: 為解決冶金工業中網絡拓撲穩定情況下的分簇問題,提出了一種基于節點鄰域勢函數的無線傳感器網絡模糊分簇算法.該算法將鄰居節點的勢函數信息作為模糊C均值隸屬度矩陣的權值,用于網絡分簇,提高了網絡的負載均衡指數,確保分簇更加均衡.仿真實驗表明,與LEACH相比,該算法使網絡生命周期提高了93.6%,大幅延長了網絡生命周期.Abstract: A weighted fuzzy clustering algorithm based on the neighbor potential function for wireless sensor networks is proposed to solve clustering problems in the case of network topology stability in the metallurgical industry. The potential function of neighbor nodes is used to optimize the network clustering, which enhances the load balance factor and ensures cluster heads being well scattered. Simulation experiments illustrate that compared with LEACH, the proposed algorithm is able to significantly prolong the networks lifetime by 93.6%.
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Key words:
- wireless sensor networks /
- clustering /
- potential function /
- fuzzy C-mean /
- load balance
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