Energy-based Routing And Optimization Strategy In Wireless Sensor Networks

In the network of wireless sensor,energy is widely concerned at home and abroad as the most important source of power.A sensor network is constituted by a large number of micro sensor nodes that deployed in a certain area,to research and develop the connection between sensor nodes and energy has important guiding significance for sensor life cycle.However,in traditional wireless sensor networks,sensor nodes is generally supplied by its own limited energy battery,this limitation of battery made the duration life span of the whole network shorten,and seriously affects the network performance.A wireless rechargeable sensor network breaks the embarrassing situation,it supplies energy through line charging mode,so as to meet the demand of sensor network for stable and continuous energy,and promoted the development of wireless rechargeable sensor network.This paper studies mobile charger's re-charging issues during charging the node in wireless sensor networks,based on reducing the energy consumption of rechargeable wireless sensor network,reducing using the unnecessary path as target,put forward the Energy Clustering Path Algorithm(ECOPA),improved and optimized charging path algorithm and energy clustering algorithm,and adding Game Theory related theories to further optimize the running path of the mobile charger.Considering in actual conditions the energy of mobile charger is limited,put forward a new global energy charging mode GEC.A special charger Libero is added to charge the whole net while other chargers return to service station.It can reduce the charging delay of the network,reduce the death rate of network nodes,and effectively prolong the network life cycle.