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针对当前分布式光栅传感网络QoS路由算法,运算耗时长、平均时延高、算法收敛速度慢的不足,提出一种基于量子遗传算法与蚁群算法相结合的分布式光纤光栅传感网络安全QoS路由算法研究。首先采用量子比特对染色体进行编码,并叠加量子促进种群的多态性,基于适配值函数筛选优良种源,并进行迭代循环形成初始的信息素;利用蚁群算法的寻优能力,对全局信息素进行多次迭代更新和寻优处理,实现光纤光栅传感网络QoS的高效数据路由。仿真实验证明,提出的算法能够降低运算的复杂性和网络时延、均衡链路负载、缓解网络拥塞、提高QoS路由的成功率。
Aiming at the current QoS routing algorithm of distributed sensor network, the algorithm consumes a long time, the average delay is high and the convergence speed of the algorithm is not enough. A distributed FBG sensor network security based on quantum genetic algorithm and ant colony algorithm Research on QoS Routing Algorithm. Firstly, the chromosomes are encoded by quantum bits, and the population is superposed with quantum to promote the polymorphism of the population. The good provenances are screened based on the fitness function, and the initial pheromone is iterated and circularized. Using the optimization ability of the ant colony algorithm, The pheromone carries on multiple iterative updates and optimization processes to achieve efficient data routing of fiber grating sensing network QoS. Simulation results show that the proposed algorithm can reduce the computational complexity and network delay, balance the link load, alleviate the network congestion and improve the success rate of QoS routing.