Interference Management Algorithm And Network Performance Optimization For Rechargeable Wireless Sensor Networks

Wireless Sensor Network(WSN)is frequently used in various fields such as disaster warning,medical monitoring,industrial and agricultural production,national defense and military.In WSN,on the one hand,limited battery capacity of nodes leads to limited network life,on the other hand,broadcast characteristic leads to serious network interference and low throughput.These two factors restrict the large-scale deployment of WSN.However,the overlap of these two problems makes the system model more complex.The combination of communication interference and energy shortage problems will make the system model more complicated.To effectively solve this problem,this article introduces Successive Interference Cancellation(SIC)and Wireless Energy Transmission(WET)in WSN.A cross-layer optimization problem is constructed,and a working strategy is designed for the network to effectively improve network throughput and extend network life.Later,this paper further studied the interference management strategy,and proposed a Degree of Freedom(DOF)model of Multiple Input Multiple Output(MIMO)assisted by Interference Alignment(IA)and SIC technology.The three technologies complement each other and design a working strategy to improve network throughput.The research work of this paper includes:(1)The throughput optimization of Wireless Rechargeable Sensor Network(WRSN)based on SIC is studied.In WRSN,the power of each node is not a constant because the data flow of node is unknown.However,if the mixed signal power received by the receiving node cannot be predicted,the SIC iterative decoding process cannot be performed.To solve this problem,this paper first constructs a minimum hop route and unify the transmission rate to determine the transmission power.After determining the network route and node power,the time slice scheduling scheme can be obtained.In turn,a time slice scheduling scheme can be obtained.Next,this paper proposed an optimization problem and the purpose is to maximize the rest time of the mobile charger during the charging cycle.Finally,this paper showed an approximate solution and its error control performance is proved.(2)The problem of MIMO network throughput optimization based on joint IA and SIC is studied.Based on the understanding of the advantages and disadvantages of SIC and MIMO DoF models,it is proposed to combine the three technologies to complement each other.1)Eliminate a lot of interference through IA and SIC to save valuable DoFs resources;2)Through IC and IA,more signals can meet the strict SINR threshold standard during the iterative decoding process of SIC.This paper develops a mathematical model to realize these two ideas in a multi-hop MIMO network.Combined with link scheduling and routing,this article combines IA and SIC for multi-hop MIMO networks,and develops a cross-layer optimization framework to solve the problem of maximizing network throughput.The simulation results show that the combination of IA and SIC can significantly save the DoFs resources of each node in the MIMO network,thereby improving the overall throughput of the network.