基于蚁群优化算法的无线传感器网络节能路由策略

Energy-efficient Routing Strategy Based on Ant Colony Optimization for Wireless Sensor Network

针对无线传感器网络,设计一种基于蚁群优化算法的无线传感器网络节能路由策略。考虑无线传感器网络具有带宽有限、电能有限、内存低等限制性,基于元启发式影响因子对WSN路由进行建模,模拟蚂蚁的觅食行为进行路由搜索,计算转发路径。通过引入期望跳数、信号接收强度指示、剩余能量等,并综合信息素对下一跳概率函数进行设计,从而实现跳数优化、节能优化的目的,仿真证明了该路由策略的有效性。

An energy-efficient routing strategy based on ant colony optimization is proposed for wireless sensor network(WSN).Considering the WSN limitations,such as limited bandwidth and battery life and low memory size,the WSN routing is modeled based on the meta-heuristic impact factors,simulating the foraging behavior of ants for routing search and calculating forwarding paths.Based on this model,the path from the originating node to the target is obtained,inspiring by the foraging nature of ants.Via introducing the expected hops,the received signal strength indicator and the residual energy,the next-hop probability function is comprehensively designed with the pheromone to optimize the hop count and energy saving.Simulations demonstrate the effectiveness of the proposed routing strategy.