应急通信网络中基于粒子群优化的信道分配算法

当前应急通信亟需解决的问题,在于如何快速有效地满足突发性增长的网络需求,以保证网络传输质量。无线mesh网络以其部署快速、结构灵活、鲁棒性等优点,成为了新一代灾后应急通信网络架构的优秀解决方案。文中提出了一种基于粒子群算法的信道分配优化算法PWCA,在降低全局网络干扰的前提下,考虑了不同链路对整体网络表现的影响,通过其邻接链路的数量来决定信道分配的优先级。在迭代优化的过程中,该算法利用信道分离度细分了不同信道之间的干扰程度以作为优化的评判标准。实验结果表明,该算法可以显著降低网络干扰,保障网络性能,相比传统的粒子群信道分配算法,其在优化速度以及多节点网络环境下的表现均有明显提升。

Channel Assignment Algorithm Based on Particle Swarm Optimization in Emergency Communication Networks

How to quickly and effectively meet the rapidly increasing network demand and ensure the quality of network transmission is the problem in emergency communications that needs to be solved urgently.The wireless mesh network is the choice of a new generation of post-disaster emergency communication network architecture.This paper proposes a particle swarm optimization-based channel allocation algorithm that considers the impact of different links on the overall network performance under the premise of reducing global network interference.The priority of channel allocation is determined by the number of adjacent links.In the process of iteration,the channel separation is used to subdivide the degree of interference between different channels as the criterion for optimization.The experimental results show that the proposed algorithm can significantly reduce network interfe-rence and ensure network performance.Compared with the traditional particle swarm allocation algorithm,its optimization speed and performance are significantly improved in the multi-node network environment.