Optimization And Research Of Charging Scheduling Strategy In Wireless Rechargeable Sensor Networks

Wireless rechargeable sensor networks(WRSN)have attracted more and more attention in recent years.Based on the wireless energy transmission technology of strongly coupled magnetic resonance,the energy replenishment of nodes in wireless sensor networks can be stable and sustainable.Under this background,the charging scheduling of mobile chargers has become an important issue for wireless rechargeable sensor networks.Based on the research of wireless rechargeable sensor network and its architecture,characteristics,application fields and research status,this thesis focuses on the mobile charging scheduling a lgorithm in rechargeable sensor network,analyses the theory and research status,and proposes corresponding mobile charging scheduling algorithms in small-scale and large-scale networks,which are embodied in the following three aspects:(1)In small-scale and large-scale networks,this thesis first proposed a mobile charging scheduling method CPEBS for rechargeable sensor networks.In the traditional scheduling method,the mobile charger returns to the base station afte r replenishing the node energy,and it cannot continue to join the sensor network until it has replenished its own power.Compared with the traditional scheduling scheme,CPEBS introduced a backup mobile charger,which can charge some to-be-charged nodes during the charging period of mobile charger.This can reduce the number of failed nodes and extend the life-time of the sensor network.(2)In a scheduling strategy in a high-node-density sensor network,this thesis designed a mobile charging scheduling strategy based on multi-node charging in WRSN by using a single mobile charger to charge multiple sensor nodes simultaneously.This method can minimize the number of node losses and maximize the cumulative charging utility gain of the network by selecting the best stop node within the charging range of the mobile charger.(3)Simulation results show that the CP EBS method significantly reduced the number of failed nodes,and the life-time of the network was extended in the research of mobile charging scheduling strategy.In the multi-node charging strategy,the proposed algorithm comprehensively considers the distance between nodes and the limitation of the charging range.The performance of several ind icators such as the number of node failures and the charging utility of the network can be improved.