无线传感器网络在物联网中占有重要地位,其能够降低能耗并有效保障数据传输。然而,无线传感器网络底层拓扑结构通常存在网络链路质量低、网络能耗高、网络干扰等问题。针对现有网络链路不稳定的问题,提出具有稳定链路的幂律可调优化算法,并对其生成的拓扑动态性能进行研究。通过网络节点失效容错需求仿真和链路稳定性仿真,验证了幂律可调优化算法的准确性,为无线传感器网络拓扑优化提供参考。
Wireless sensor networks(WSNs)play an important role in the Internet of Things,which can reduce energy consumption and ensure data transmission.The underlying layer topology structure of WSNs usually has the problems of low networklink quality,high network energy consumption and network interference.Since the current network link is instable,a power lawadjustable optimization algorithm with stable link is proposed,and the topologic dynamic performance generated by it is studied.The accuracy of the power law adjustable optimization algorithm was verified by means of the simulation required by the networknode failure tolerance and link stability.It is hoped the algorithm can provide a reference for the future topology optimization ofWSNs.