Huang He-qing, Yao Dao-yuan, Shen Jie, Ma Kui, Liu Hai-tao. A Multi-weight Based Clustering Algorithm for Wireless Sensor Networks[J]. Journal of Electronics & Information Technology, 2008, 30(6): 1489-1492. doi: 10.3724/SP.J.1146.2006.01792
Citation:
Huang He-qing, Yao Dao-yuan, Shen Jie, Ma Kui, Liu Hai-tao. A Multi-weight Based Clustering Algorithm for Wireless Sensor Networks[J]. Journal of Electronics & Information Technology, 2008, 30(6): 1489-1492. doi: 10.3724/SP.J.1146.2006.01792
Huang He-qing, Yao Dao-yuan, Shen Jie, Ma Kui, Liu Hai-tao. A Multi-weight Based Clustering Algorithm for Wireless Sensor Networks[J]. Journal of Electronics & Information Technology, 2008, 30(6): 1489-1492. doi: 10.3724/SP.J.1146.2006.01792
Citation:
Huang He-qing, Yao Dao-yuan, Shen Jie, Ma Kui, Liu Hai-tao. A Multi-weight Based Clustering Algorithm for Wireless Sensor Networks[J]. Journal of Electronics & Information Technology, 2008, 30(6): 1489-1492. doi: 10.3724/SP.J.1146.2006.01792
Topology control in a wireless sensor network balances load on sensor nodes and increases network scalability and lifetime. Clustering architecture is one of the effective approach. In this paper, we proposed a distributed clustering algorithm MWBC for maximal-lifetime wireless sensor network design, which take into consideration many factors such as the ideal degree, current energy, transmission power, link quality, and relatively position of nodes. Through simulations we have compared the performance of proposed algorithm with that of the LEACH and HEED algorithms in terms of the number of clusters formed, and the Load Balance Factor(LBF)value. The results demonstrate the superior performance of the proposed algorithm.