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针对现有数据收集算法存在的单点失效问题以及热区问题,本文提出了一种能耗均衡和非均匀分簇的数据收集算法。该算法把网络分成多个非均匀的网格,每个网格中的所有节点构成一个簇,而簇内簇首数是由节点失效概率来决定,并且多个簇首协作地把收集的簇成员数据发送给基站。实验表明,本文所提算法能够显著地提升数据收集可靠性,提高能耗均衡性,并延长WSN的生存时间。
Aiming at the single point failure problem and the hot zone problem existing in existing data collection algorithms, this paper presents a data collection algorithm of energy balance and non-uniform clustering. The algorithm divides the network into several non-uniform grids. All the nodes in each grid form a cluster, and the number of cluster heads in a cluster is determined by the failure probability of a node, and the multiple cluster heads cooperatively collect the collected clusters Member data is sent to the base station. Experiments show that the proposed algorithm can significantly improve the reliability of data collection, improve the balance of energy consumption and extend the lifetime of WSN.