由于无线传感器网络中的节点链路状况、数据传输能耗及节点剩余能量的限制,造成网络中部分感知节点寿命缩短,影响网络生存周期,提出了一种基于人工蜂群算法的WSNs能耗均衡算法,优化网络能耗均衡,从而提高网络寿命;文章给出了网络能耗相应的数学模型及优化求解算法,介绍人工蜂群算法的寻找食物过程,阐述了人工蜂群算法在网络能耗均衡方面的实现步骤;通过实验仿真证明,文章提到的算法与LEACH分簇算法、蚁群优化算法相比,具有更好的能耗和负载均衡能量、丢包率和时延性,有效地提高了网络生存周期.
Owe to the wireless sensor network node link status,data transmission energy consumption and residual energy constraints,causing shortening fraction sensor network lifetime,affecting the network life cycle.Proposes a WSNs energy equalization algorithm based on artificial bee colony algorithm,optimization of network energy consumption,so as to improve the network lifetime.This paper presents a mathematical model of energy consumption and corresponding optimization algorithm,artificial bee colony algorithm describes the process of looking for food,illustrates the steps of artificial bee colony algorithm to balance the energy consumption of the network.Through simulation experiments demonstrate that this algorithm compared with LEACH clustering algorithms,Ant Colony optimization algorithm,it has better power consumption and load-balancing the energy,the packet loss rate and delay,effectively improve the network life cycle.