一种优化算法物联网技术分布式协作路由研究

研究无线传感器网络分布式协作优化问题。针对无线传感器网络资源利用率和传输效率低下等问题,建立了一种基于遗传优化算法的无线信道质量预测的分布式优化协作路由技术。该技术充分利用遗传算法,采用启发式方法建立无线链路信道信噪比预测模型,然后根据信道质量选择最优者作为协作节点,以较小代价在动态无线网络拓扑中搜寻到最优路由。数学分析表明,遗传算法收敛速度快、可靠性高,可以准确地预测无线链路质量;同时该协作路由技术对无线传感器网络具有更好的适应性,并有效延长了网络生命周期。

Distributed optimization cooperative routing technology based on genetic algorithm for wireless sensor networks

This paper researched a distributed cooperative routing technology of a wireless sensor network data transmission based on the genetic algorithm for channel prediction. Wireless sensor network, difficult for the effective utilization of resources and the transmission efficiency was low wait for a problem, which was based on genetic algorithm for wireless channel quality prediction for distributed cooperative transmission routing technology. The technology made full use of the genetic algorithm, using heuristic methods, established a wireless link channel signal to noise ratio prediction model, and then chose the best according to the channel quality as cooperative nodes, with lesser cost in dynamic wireless network topology to search for the optimal route. Mathematical analysis shows that the genetic algorithm has a fast convergence speed and high reliability, can accurately predict the wireless link quality, the cooperative routing technology of wireless sensor network has better adaptability and prolong the network life cycle at the same time.