Research On Optimization Algorithm Of Rechargeable Wireless Sensor Networks Based On SIC And IA

Wireless Sensor Network(WSN)have been widely used in traffic manageme nt,intelligent monitoring,intelligent building,military reconnaissa nce and environme nt monitoring.The limited battery energy of wireless sensor nodes,especially in special monitoring environments,makes it more difficult to replace batteries,resulting in depletion of battery energy and deterioration of network quality.Therefore,how to extend the life of the WSN and ensure the energy supply of the node is a particularly important research topic.In addition,as the size of the network continues to increase,the interference generated when transmitting data between nodes becomes more and more serious.Due to the characteristics of the open channel of wireless communication,in the case of multiple transmitters working simultaneously,the more interference between nodes will lead to a decrease in data transmission quality and channel utilization.Based on the purpose of prolonging the life of WSN and improving the throughput of WSN,this paper focuses on the optimization of charging algorithms and interfere nce management for WSN.The main research contents are as follows.(1)The multi-node charging optimization research strategy based cluster for Wireless Rechargeable Sensor Network(WRSN)is proposed.In the use of Wireless Charging Vehicle(WCV)for energy replenishment of sensor nodes,the study of minimizing the travel distance of WCV to improve the charging utility is a hot topic in the research.In this paper,we address the problem of simultaneous charging of multiple nodes by clustering the sensor nodes in a region using a clustering algorithm,and analyze the effect of different clustering algorithms on the operation of energy replenishment devices in WSN,while ensuring that the sensor nodes in each cluster are within the charging range of the WCV.The docking position of the WCV is determined in each cluster,then WCV moves along the shortest Hamiltonian cycle to obtain the minimum value of the distance traveled by the WCV during the charging cycle.(2)The research model of WRSNs optimization algorithm based on Successive Interference Cancellation(SIC)and Interference Alignment(IA)is proposed.Firstly,the WRSN multi-node charging model based SIC combines wireless multi-node charging and SIC technology,selects clustering algorithms to cluster nodes based on the clustering comparison results,and designs a heuristic algorithm to apply SIC technology to nodes in each cluster.Secondly,the multi-hop network cross-layer optimization model based SIC-IA mathematical model uses both IA and SIC techniques to set up mult ip le environmental scenarios to evaluate the performance of the algorithm in a multi-hop network.Experiments show this research model can maximize the network lifetime and improve the network throughput.