PSO结合SA优化算法的无线传感器网络路由协议

发布时间：2018-02-05 03:00

本文关键词： 无线传感器网络参数优化粒子群优化模拟退火分簇协议　出处：《湘潭大学自然科学学报》2015年04期 　论文类型：期刊论文

【摘要】：针对无线传感器网络(WSN)经典分簇协议LEACH的分簇不均匀问题,提出一种融合粒子群优化(PSO)和模拟退火(SA)优化的WSN分簇协议.在分簇阶段考虑4种节点参数:节点距Sink节点的距离、剩余能量、先前成为CH的次数和距其他CH的距离.通过PSO-SA算法对分簇参数进行优化,自适应调整簇头选举阈值中的各项参数值,获得最适合当前环境的分簇结构,从而均衡网络能耗、提高网络寿命.实验结果表明,相比能量感知LEACH-EP协议、SA优化的协议和GA优化的协议,提出的协议在网络寿命和网络延迟方面具有更好的性能.
[Abstract]:Aiming at the problem of clustering inhomogeneity in LEACH, a classical clustering protocol for wireless sensor networks (WSNs). A new WSN clustering protocol, which combines particle swarm optimization (PSO) and simulated annealing (SA), is proposed. In the clustering phase, four node parameters are considered: the distance from the node to the Sink node, and the residual energy. The number of times previously became Ch and the distance from other Ch. PSO-SA algorithm was used to optimize the clustering parameters and adjust each parameter value in the election threshold of cluster head adaptively. In order to balance the network energy consumption and improve the network lifetime, the clustering structure which is most suitable for the current environment is obtained. The experimental results show that compared with the energy-aware LEACH-EP protocol. SA optimized protocol and GA optimized protocol, the proposed protocol has better performance in network lifetime and network latency.
【作者单位】：周口师范学院数学与统计学院;周口师范学院计算机科学与技术学院;
【基金】：河南省软科学研究计划项目(132400410934) 河南省高新领域科技攻关项目(122102210562)
【分类号】：TP18;TP212.9;TN915.04
【正文快照】： 无线传感器网络(WSN)是由多个静态传感器组成,通过无线介质连接,执行物理世界的分布式感知[1].WSN中传感器节点容易部署,但其功率和带宽资源比较稀缺,所以在设计WSN的运作协议时,需要考虑这些因素[2].将网络构建成分簇结构是延长网络寿命的有效方法之一[3].目前典型的用于延长

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