关键词: 无线传感器网络, 自供能, 簇头优化, 路由算法, 复活机制

Abstract: In the Energy Balanced Clustering algorithm for Self-energized wireless sensor network (EBCS), a node has no threshold limit of energy in the cluster-head election, which leads to that a node with low energy might be elected as the cluster-head; and the cluster-head node can only hold one round, which leads to that the node with rich energy can not continue to be reappointed. Meanwhile, the EBCS has no consideration about the election mechanism after the death node was resurrected based on the self-energized characteristic. In order to solve the problems, a new Clustering routing algorithm based on Cluster-head Optimization for Self-energized wireless sensor network (CCOS) was proposed. Firstly, the energy threshold of cluster-head election was optimized, which limited the election of the node with incompetent energy for the cluster-head. Secondly, the cluster-head reappointment mechanism was introduced and improved, which made that the cluster-head can decide whether to be the cluster-head in the next round with its own level of energy harvesting. What's more, a threshold sensitive node resurrection mechanism was proposed, soft and hard resurrection thresholds were set to let the death node resurrected when its harvesting energy reached the corresponding energy threshold. The experimental results show that, under different energy harvesting scenes, compared with EBCS, the number of available nodes of the proposed CCOS in the current network is increased by about 8% and its success ratio of data transmission is increased by about 5%. The proposed CCOS can make more rational use of renewable energy and is helpful to the deployment of self-energized sensor network.

Key words: Wireless Sensor Network (WSN), self-energized, cluster-head optimization, routing algorithm, resurrection mechanism