Load-Balanced Clustering Algorithm With Distributed Self-Organization for Wireless Sensor Networks
Load-Balanced Clustering Algorithm With Distributed Self-Organization for Wireless Sensor Networks
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DOI：
10.1109/jsen.2012.2227704
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发表时间：
2013-05-01
影响因子：
4.3
通讯作者：
Li, Weiqun
中科院分区：
文献类型：
--
作者：
Liao, Ying;Qi, Huan;Li, Weiqun
无线传感器网络（WSN）由大量廉价的功率受限的无线传感器节点组成，它们通过自组织检测和监控周围的物理参数。利用聚类算法形成分层网络拓扑是无线传感器网络中实现网络管理和数据聚合的常用方法。假设节点的剩余能量服从随机分布，我们提出了一种基于节点距离和密度分布的负载平衡的无线传感器网络聚类算法，这使得它与以前的聚类算法有本质的区别。模拟测试表明，新算法能够构建更加平衡的集群结构，增强网络生命周期。
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.