Research On Performance Optimization Scheme Of Cooperative Wireless Sensor Network Based On SWIPT

The 5th generation communication(5G)technology has brought great convenience to our life.However,the demand for user service is increasing day by day,and the spectrum resources and energy required for communication also rise sharply.As a rapid development and application in recent years,wireless sensor network has been rapidly integrated into the new generation wireless communication network with 5G as the center because of its high performance and low cost.Because of the excessive dependence on power supply by sensor nodes,how to ensure the energy efficiency of communication(EE)is the primary problem.It can provide higher energy efficiency,longer battery life and higher quality of service(Qo S)in wireless sensor network by combining cooperative relay and simultaneous wireless information and power transfer(SWIPT)technology.Therefore,this paper studies the performance optimization scheme of the cooperative wireless sensor network based on SWIPT,and the main work is as follows:1.In order to improve the transmission performance of the system,we combine the multi relay cooperative transmission channel to reduce the energy consumption,and select the best relay from the candidate relay combination to participate in the forwarding,so as to improve the complexity of the multi relay system and improve the energy efficiency of the system.The cooperative transmission scheme based on hybrid decode amplify forward(HDAF)in multi relay simultaneous wireless information and power transfer system is studied.From the perspective of system energy efficiency,the time switching(TS)under constant decoding rate is studied.In order to improve the system performance as much as possible,this paper analyzes the process of the best relay selection and formulates the best relay selection criteria to maximize the energy efficiency.In addition,the closed form expression of outage probability in Nakagami-m fading channel is derived,and the performance indexes such as throughput and energy efficiency are analyzed.Finally,Monte Carlo simulation with MATLAB proves the feasibility and effectiveness of the scheme.2.The security of communication system is also an important index to measure the quality of communication.In order to meet the multi-objective application scenario of wireless sensor network,a cooperative multi relay system with eavesdroppers is assumed,which can ensure the reachability of legal link communication and improve the security of the whole communication system.This paper studies the cooperative transmission scheme based on decode forward(DF)protocol in multi relay wireless energy carrying system,mainly from the perspective of channel security capacity,aiming at the constant decoding rate of power splitting(PS).In order to improve the system security as much as possible,the process of the best relay selection is analyzed and the best relay selection criteria for maximizing the channel security capacity is formulated.In addition,the closed form expression of outage probability in Rayleigh fading channel is derived,and the channel security capacity,security outage probability and other performance indicators are analyzed.Finally,the Monte Carlo simulation with MATLAB proves the feasibility and security of the scheme.3.In view of the short network life caused by the limited energy of wireless sensor network,we deploy the sensor node in a wireless powered communication network(WPCN),the first research point is used as the application of this scenario,and then the simultaneous wireless information and power transfer is performed by clustering the network.The time switching frame structure is designed and the problem of the best cluster head election is studied.Based on LEACH protocol,the clustering algorithm is improved,the remaining energy factors are considered,and the best cluster head selection method aiming at maximizing energy efficiency is given to optimize the network clustering.While ensuring the wireless power supply operation,the energy efficiency of network operation is maximized.Finally,Monte Carlo simulation with MATLAB proves the feasibility and effectiveness of the algorithm.