WSNs中基于模糊逻辑系统的簇头选择方案

摘要

One approach commonly used to prolong the network lifetime of Wireless Sensor Network is by aggregating data at the cluster heads (CHs).However,there is possibility that the CHs may fail due to a number of reasons such as energy consump -tion.They are unable to collect and transfer data correctly ,which affects the performance of the WSNs .Therefore,fuzzy logic-based cluster head election ( FLCHE) scheme was proposed in this paper .Firstly,the residual energy of sensor nodes ,node centrality and local distance were computed ,which were considered as input of the fuzzy logic system .The probability of becoming cluster head was gotten.Moreover,the failed cluster head was taken into account .The time was divided into equal round ,and the cluster heads was update in each round .In each round,CH periodically broadcast HELLO message ,which is used by cluster members to check whether CH is failed or not .Once failed,the updating process was done in advance .Simulation results show that FLCHE scheme is able to improve energy efficient and prolong network lifetime .%利用簇头（Cluster heads）融合数据成为延长WSNs（Wireless Sensor Networks）寿命的有效方案。然而，由于能量耗尽等原因，簇头可能失效，不能正常收集、传输数据，这直接影响了WSNs的性能。为此，提出了基于模糊逻辑系统的簇头选择FLCHE（Fuzzy Iogic-based Cluster Head Election ）方案。首先计算传感节点的剩余能量、中心度以及局部距离信息，再将这些信息作为模糊逻辑系统的输入，从而产生成为簇头CH的几率。此外，考虑了簇头失效情况。将时间划分等间隔的轮，每轮重新选择簇头。簇头在一轮内周期地发送HELLO消息，用于簇内成员节点检测簇头的状态。一旦失效，就提前启动簇头选择任务。仿真结果表明，提出的FLCHE方案能够有效地保存能量，进而延长网络寿命。