一种高能效传感网路由控制算法

针对传感网络中节点能耗高的问题,提出了一种基于层次的多跳非均匀分簇路由算法UCER.该算法通过计算各层次中节点的平均剩余能量,挑选剩余能量高于层次平均能量的节点形成候选簇头集合,根据不同层次中候选簇头竞争半径的不同,在局部层次范围内竞争正式簇头,并建立非均匀簇结构.结果表明,与同类型分簇算法相比,UCER可以产生更加合理的簇头数量和簇头间距,并较好地均衡了各个簇及簇头的能耗,延长13. 4%的网络生存时间.

A routing control algorithm with high energy efficiency in sensor networks

Aiming at the high energy consumption problem of sensor networks, an unequal clustering and multi-hop routing algorithm UCER based on levels was proposed. Through calculating the average residual energy of nodes in each level, the nodes whose residual energy higher than the average level energy were chosen to form the candidate cluster head set. According to the difference of competition radius of candidate cluster heads in different levels, the formal cluster heads were competed in the partial level range, and the unequal clusters were established. The results show that compared with the same type of clustering algorithms, UCER can generate more reasonable number of cluster heads and space between cluster heads, balance the energy consumption of individual cluster and cluster head, and efficiently prolong the network survival time of 13.4%.