Research On Optimization Of Energy And Interference Management Protocol In Wireless Sensor Networks

First,the node energy is limited in the wireless sensor network,and the location of the base station largely affects the energy consumption of the entire sensor network.In addition,interference management has always been a research hotspot in the field of wireless communication.At present,most research based on interference management is directed to an interference management technology,and few studies have combined multiple interference management technologies.This dissertation studies the problem of base station placement based on energy supplementation equipment and interference management based on wireless multi-hop network.The innovation of this dissertation is divided into two parts:(1)In order to prolong the lifetime of wireless sensor networks with wireless energy replenishing devices,this dissertation designs a base station placement scheme and proposes a working strategy of charging device and sensor nodes.For the location of the base station,the whole network is separated into different parts according to sensor nodes positions firstly by using mixed Gaussian clustering.Then,we make the base station lean to these sections with respect to the central positions and the data generation rate of each class.In order to get the working strategy of the charging device and sensor nodes,we designed a cross-layer optimization problem to maximize the sojourn time ratio of wireless energy replenishing device.This optimization problem is then transformed into a linear programming problem which can be solved efficiently.The simulation shows that the outcome yielded by our base station placement strategy increases by roughly 75% compared with previous results.(2)This dissertation proposes an interference management technology that combines IA and SIC techniques.We first determine the routing path of the session with the goal of minimizing hops and interference,and then on this basis we establish the IA-SIC mathematics model in multi-hop networks.Based on this model,we have developed a cross-layer optimization framework for multi-hop networks.The goal is to make full use of the advantages of IA and SIC to improve the end-to-end data transmission rate of multi-hop sessions.In order to evaluate the performance of our algorithm in multi-hop networks,we compared the performance of the network using IA-SIC and without SIC.Simulation results show that using IA-SIC can significantly increase the throughput of the session.