The Research Of Power Location And Relay Selection Strategy In Energy Harvesting Wireless Multi-hop Network

The vigorous development of the wireless mobile communication network has continuously brought great problems to the energy consumption of the network while continuously meeting the increasing traffic demands of the mobile users.With the improvement of human environmental awareness and economic consciousness,energy consumption has become one of the most urgent problems to be solved in the future information and communication industry.Meanwhile,energy harvesting,as a new technology for green energy acquisition,is an important means to reduce network energy consumption and improve the life of communication system in mobile communication field.The research subject of this paper is the power allocation and the relay selection question in wireless multi-hop networks based on the technology of energy harvesting.Focusing on the problem of power allocation in energy harvesting cognitive wireless sensor networks,a new type of cognitive user time switching model is used to study the energy efficiency of the network.And we proposed a new power allocation scheme based on non-cooperative game and optimal response algorithm.This scheme is based on the traditional time-switching relay selection protocol(TSR)and combined the characteristics of secondary users in cognitive networks.We proposes a new cognitive user time-switching model and concludes the power allocation problem as a non-cooperative game.The research goal is to maximize the energy efficiency of each sensor node,thus maximize the total energy efficiency of the system.Through the proof of the unique solution of Nash equilibrium,the optimal energy harvesting coefficient is solved by using the optimal response algorithm.What's more,we analyzed the impact of energy capture efficiency,spectrum sensing power and number of cognitive users to the optimal solution and objective function.The simulation results show that this algorithm can greatly improve system energy efficiency,increase green energy utilization and reduce network energy consumption.At the same time,this paper studies the problem of relay selection in heterogeneous green relay enhanced networks.Firstly,a bidirectional auction market with multi-source nodes,multi-relay and multi-destination nodes is set up.During the game of bidirectional auction,We regard the macro base station as the auctioneer,the source node as the buyer,and the relay node as the seller,given the corresponding source node bidding and relay node asking price model,and according to the economics of the markup pricing method,the remaining energy of the source node and the time switching coefficient of the relay node are introduced in the paper.Then three different auction strategies are proposed.The objectives are separately maximizing the number of source nodes that can receive relay service,maximizing the total system throughput and maximizing the total income of green relay,respectively.Using the improved Hungarian algorithm to solve the problem of matching in different situations.Finally,through the simulation in MATLAB,we analyze the system performance under different auction strategies,and the influence of different factors on the number of matching pairs and the total system capacity,which has certain guiding significance to the reality.