基于移动代理的大规模无线传感器网络路由算法

大规模传感器网络中常见路由算法耗能严重，不利于网络生命期最大化。在抽象出传感器网络移动代理路由模型的基础上，将移动代理路由归结为一个优化问题。为了优化移动代理路由，结合混沌搜索的全局空间能力和模拟退火算法的快速寻优能力，设计了一种具有记忆功能和多种邻域搜索方法的混沌模拟退火算法。理论分析和模拟实验表明，随着传感器网络规模增大，算法在优化结果、收敛速度及时间效率方面均优于遗传算法和粒子群算法，明显延长了网络的生命期。

Mobile Agent-based routing optimization algorithm in large-scale wireless sensor networks

The common routing algorithms tremendously dissipate energy in large scale wireless sensor networks, which goes against the maximization of the network lifetime. A routing model about mobile Agent in sensor networks was drawn out, and then an optimization problem of mobile Agent static route was derived. A chaotic simulated annealing with memory ability and various neighborhood search methods were proposed to optimize the route of mobile Agent in large scale sensor network. The theoretical analysis and experimental results show that the proposed algorithm is superior to other intelligent algorithms in terms of the solutions, the convergence speed, and the computation time. It proves that the proposed approach has obviously prolonged the network lifetime.