WSNs中基于智能水滴的信宿路径规划算法

为了有效避免无线传感网络(WSNs)中的热点问题，常利用移动信宿收集数据。信宿依据预定路线遍历预定的驻留点(RPs)。而其他传感节点就将数据传输至离自己最近的驻留点。因此，构建最优的RPs非常重要。为此，提出基于智能水滴的信宿路径规划(IWD-SPP)算法。提出IWD-SPP算法的目的在于延长网络寿命，并最小化转发数据包的能量消耗。利用智能水滴算法构建最优的RPs，规划信宿的移动路径。仿真结果表明，提出的IWD-SPP算法在能量消耗和网络寿命方面的性能优于同类算法。

Intelligent water droplet-based sink path planning algorithm in WSNs

In order to avoid the hotspot problem in a Wireless Sensor Network(WSN), a portable sink is utilized to gather information from the sensor nodes. A portable sink might be permitted to visit just a restricted number of sensor nodes, alluded as Rendezvous Points(RPs). The rest of the sensor nodes send their information to the closest RP so as to avoid the postponement due to visiting all the sensor nodes. Therefore, it is very important to determine an optimal set of RP in order to enhance the information gathering procedure. An Intelligent Water Droplet-based Sink Path Planning(IWD-SPP) algorithm is proposed. This algorithm aims at boosting up the lifetime of the network and minimizing the network energy consumption in forwarding the data packets. A productive mechanism has been devised based on the behavior of IWDs so as to find an ideal arrangement of RPs and the mobile sink''s routing path. Simulation results show that the proposed IWD-SPP algorithm has better performance in energy consumption and network life.