移动Sink的传感器网络路径优化策略

在无线传感器网络（WSNs）中引入移动 Sink 可以避免网络拥塞和能量空洞并降低网络能耗，但由于移动速度的限制导致时延较大。针对这一问题，提出了时延约束下的移动 Sink 路径优化策略，根据时延和网络能耗之间的关系设计了可调节的节点权重，通过模拟退火遗传算法得到最优节点权重，并依据此权重通过迭代得到汇聚节点和最佳移动路径。仿真结果表明：该策略能保证在满足时延约束的前提下降低网络能耗，且收敛速度快。

Mobile sink-based path optimization strategy in wireless sensor networks

Introducing mobile sink in wireless sensor networks(WSNs)can avoid network congestion and energy hole and reduce energy consumption of network,but it lead to large delay because of limitation of moving speed. Aiming at this problem,path optimization strategy of mobile sink under delay constrains is proposed. Adjustable node weight is designed according to relationship between delay and energy consumption of network. The optimal node weight is obtained through simulated annealing genetic algorithm. The sink nodes and the optimal moving path are acquired through iteration procedure based on the optimal node weight. Simulation results show that the strategy can reduce energy consumption network and have fast convergence under the premise of meeting delay constrains.