Joint Research On Data Collection And Charging Scheduling In Rechargeable Wireless Sensor Networks

The wireless charging technology,based on magnetic coupling resonance,provides a solution to the power problem of wireless sensor networks.But in the case to the sustainable operation of network,how to make use of wireless charging technology and mobile data collection to improve work efficiency and meet the demand of network dynamic data collection is crucial.This paper aims to prolong the life of wireless sensor network,maintain the normal work of nodes,improve the charging efficiency of mobile devices and reduce the time delay of mobile data collection.The main tasks are as follows:(1)Single-hop data collection and power supplementary strategy based on fixed partition.According to the effective recharge range of wireless charging,the paper designs the fixed partition strategy to improve equipment one-to-many charging efficiency.From a comprehensive consideration of the mobile data collection time,node and residual power of nodes cache data volume,and many other factors,this paper attempts to find a way to maximize the minimum power and maintain the network normal work and reduce the time delay of data collection for the optimization goal,and to design a solution by genetic algorithm to select the optimal equipment moving path.The simulation results show that the proposed strategy can maximize the network minimum energy,extend the network life,and ensure that the data collection coverage and mobile access time are small.(2)Single mobile device data collection and charging path planning strategy based on dynamic partitioning and hybrid multi-hop transmission.For fixed divided charging area node areas,it may bring bigger charging time difference.In this paper,a dynamic charging,based on adaptive threshold setting area partitioning strategy,considering mobile data collection cover problem,and putting forward to mobile devices to combine the data collection of node routing strategy was determined.It also discussed considering fastest death of the node,considering nearest neighbor path first and considering fastest global shortest path in three different routingstrategy on network,and choosing the best strategy for data collection and dispatching joint planning.The simulation results show that the dynamic zoning strategy can effectively reduce charging device access time.Consider node death fastest path selection strategy can maintain the normal operation of network and extend the life of the network.In addition,data gathering cover is bigger.(3)Multi-mobile device task allocation strategy with limited power.For wireless sensor networks nodes in different needs and for equipment with limited power.This paper raised a multiple mobile equipment task allocation strategy.Distributing a data gathering task,data gathering and joint charging task and charging task for a device,through the task partition again to reduce the problem scope.Each mobile device is designed to perform assigned tasks,according to the partition strategy mission,and chooses whether to participate in collaborative charging.The simulation results show that the task allocation strategy achieves the specified tasks with fewer equipment quantity and data transmission times and expands the charging and data collection coverage of mobile devices.