基于隐式协作缓存机制的WSN网络能耗优化算法

WSN Network Energy Optimization Algorithm Based on Implicit Cooperative Caching Mechanism

针对无线传感器网络(Wireless Sensor Networks,WSN)节点间缓存空间压力造成计算、存储、通信能力差的问题,提出一种基于隐式协作缓存机制的WSN网络能耗优化算法。在明确WSN网络数据采集机制的基础上,使用远端节点缓存内容的隐式协作,降低网络节点间缓存空间压力,平衡节点间的缓存替换率;以传感器到基站的距离、节点剩余能量以及节点分散比重作为优化指标,获得选举簇头无线传感器网络能耗优化算法。仿真结果表明,所提方法可以降低WSN节点能耗,使WSN网络中不同节点能量消耗相对平衡,有效延长了WSN网络使用周期。

Aiming at the problem of poor computing,storage,and communication capabilities caused by buffer space pressure between nodes in wireless sensor networks(WSN),a novel energy consumption optimization algorithm based on implicit collaborative caching mechanism for WSN networks is proposed.Based on clarifying the WSN network data collection mechanism,implicit collaboration of cached content between remote nodes was used to reduce the pressure on cache space between network nodes and balance the cache replacement rate between nodes;Using the distance from the sensor to the base station,the remaining energy of the node,and the node dispersion ratio as optimization indicators,an energy optimization algorithm for elected cluster head wireless sensor networks was obtained.The simulation results show that the proposed method can reduce the energy consumption of WSN nodes,make the energy consumption of different nodes in the WSN network relatively balanced,and effectively prolong the service life of the WSN network.