期刊
IEEE SENSORS JOURNAL
卷 13, 期 5, 页码 1498-1506出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2012.2227704
关键词
Cluster; connectivity density; life cycle; random distribution; wireless sensor networks
资金
- National Natural Science Foundation of China [60774036]
- Natural Science Foundation of Hubei Province of China [2008CDA063]
- Research Fund for Central Colleges [C2009Z025Y]
Wireless sensor networks (WSNs) are composed of a large number of inexpensive power-constrained wireless sensor nodes, which detect and monitor physical parameters around them through self-organization. Utilizing clustering algorithms to form a hierarchical network topology is a common method of implementing network management and data aggregation in WSNs. Assuming that the residual energy of nodes follows the random distribution, we propose a load-balanced clustering algorithm for WSNs on the basis of their distance and density distribution, making it essentially different from the previous clustering algorithms. Simulated tests indicate that the new algorithm can build more balanceable clustering structure and enhance the network life cycle.
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