无线传感器网络中一种能耗均衡和非均匀分簇的数据收集算法

Balanced Energy Consumption and Uneven Clustering Data Collection Algorithm in Wireless Sensor Network

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 failure problem and the hot spot problem on data collection algorithms,a balanced energy consumption and uneven clustering data collection algorithm is proposed. The proposed algorithm divides the network into uneven grids,and a cluster is made up of nodes in the same grid.The number of cluster heads is decided by the node failure probability,and the cluster heads in the same cluster cooperatively transmit the collection data to the base station.Experimental results demonstrate that the proposed algorithm can＇t only improve the reliability of data collection and energy consumption balance,but also prolong the life of network.