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针对Ad Hoc网络的动态网络环境和链路、节点性能限制等不利因素,提出了一种新的QoS路由发现方法———SAANT.该方法利用蚁群算法增加了发现可用QoS路由的概率,利用基于概率的路由转发策略来减少洪泛造成的网络开销,从而强化所提算法的全局搜索能力和自适应性,减小了洪泛对Ad Hoc网络性能的影响.所提方法还利用模拟退火算法调整路由发现算法的搜索方向,以弥补蚂蚁算法收敛速度上的弱点,减少了搜索过程中的停滞现象.在包投递成功率、平均包延迟和吞吐量等方面,通过仿真实验对SAANT、仅基于蚁群算法的QoS路由算法和传统的按需路由算法的方法进行了性能比较,结果表明,在Ad Hoc网络环境下,SAANT的收敛速度、移动性能和网络负载性能均表现出更好的适应性.
Aiming at the unfavorable factors such as the dynamic network environment of Ad Hoc network and the limitations of links and nodes, this paper proposes a new QoS routing discovery method called SAANT, which increases the probability of discovering available QoS routing by using ant colony algorithm. Based on the probability of routing and forwarding strategies to reduce the network overhead caused by flooding to enhance the global search ability and adaptability of the proposed algorithm to reduce the impact of flooding on Ad Hoc network performance.The proposed method also uses simulated annealing algorithm Adjust the search direction of route discovery algorithm to make up for weaknesses of ant algorithm convergence speed and reduce the stagnation phenomenon in the search process.Through the simulation experiment on the packet delivery success rate and average packet delay, The performance comparison between the ant colony algorithm QoS routing algorithm and the traditional on-demand routing algorithm shows that in the Ad Hoc network environment, the SAANT convergence rate, mobility and network load performance showed better adaptability .