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针对无线传感器网络负载的动态变化等特性,提出传感器网络并行联盟的概念,设计基于离散粒子群优化的并行联盟生成算法及上限约束算法,将网络的若干任务并行地分配给若干合适的联盟结构;同时,实时地跟踪网络的运行并做出调整.该算法很好地处理了复杂或实时的网络应用,并有效地提高了资源的利用率.仿真实验验证了该算法的有效性,从一定程度上延长了网络的生命期.
Aiming at the characteristics of dynamic changes of wireless sensor network load, this paper proposes the concept of parallel network of sensor networks, designs parallel coalition generation algorithm and upper bound constraint algorithm based on discrete particle swarm optimization, and assigns some tasks of the network to several suitable coalition structures in parallel. At the same time, tracking and adjusting the operation of the network in real time, the algorithm can deal with complex or real-time network applications and effectively improve the utilization of resources.The simulation results show the effectiveness of the algorithm, from a certain degree On the extension of the life of the network.