Research of Clustering Algorithm Based on Data Content for Heterogeneous Sensor Networks

Yingchun Zhou, Guoqing Dong, Lu Chen, Renyou Zhang
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Abstract

Considering the characteristic of heterogeneous wireless sensor networks, the clustering algorithm based on data content for heterogeneous sensor network is proposed. In cluster construction stage, according to the various sensor node types in CADC algorithm, the same types of nodes is divided into the same cluster and different types of nodes can not be divided into the same cluster. In the cluster heads selection scheme, nodes with the most residual energy will be elected cluster heads first. Cluster heads with the same type further integrat into the secondary cluster. Because this algorithm makes the data aggregation to be the most optimal and reduces the transmission distance of cluster heads, it can prolong the lifetime of the whole networks.
基于数据内容的异构传感器网络聚类算法研究
针对异构无线传感器网络的特点,提出了一种基于数据内容的异构传感器网络聚类算法。在聚类构建阶段,根据CADC算法中不同的传感器节点类型,将相同类型的节点划分为同一聚类,不同类型的节点不能划分为同一聚类。在簇头选择方案中,剩余能量最大的节点优先被选为簇头。具有相同类型的集群头进一步集成到辅助集群中。由于该算法使数据聚合达到最优,并减少簇头的传输距离,因此可以延长整个网络的生命周期。
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