Relay Node Deployment Scheme Study Based On Energy Efficiency In EH-WSNs

As smart grid technologies are updated and iterated,wireless sensor networks are built to enable sensing and measurement,real-time monitoring,data information transfer,and networking capabilities for power lines or equipment in the smart grid environment.Also,with the development of electromagnetic energy harvesting technology,sensor nodes with electromagnetic energy harvesting are often deployed to meet the need for clean,green,and sustainable technology development.However,in electromagnetic energy harvesting wireless sensor networks,there is higher energy consumption due to hard channel quality during communication,lower electromagnetic energy harvesting power of nodes caused by the environment,or difficulty in conveniently deploying high-power electromagnetic energy harvesting devices.In order to address these problems,the energy efficiency of nodes is improved and the communication reliability in the network.It has been studied and confirmed that enhancing network performance by deploying relay nodes is a feasible method.For the energy efficiency problem of the cooperative communication system of electromagnetic energy harvesting network,this thesis proposes the strategy of maximizing energy efficiency based on relay deployment to improve the throughput of system transmission and prolong the network operation time;based on this,a relay node deployment strategy based on a multi-objective evolutionary algorithm based on decomposition is proposed for the problems of communication reliability and energy efficiency in two-layer communication network research.The principal work of this thesis is as follows.1.This thesis considers whether the energy harvesting power of each node matches the consumed power in the electromagnetic energy harvesting environment different from other energy harvesting networks.For this power matching situation,this thesis proposes the concept of energy consumption rate and is used to define a new model of energy efficiency.Then,we use collaborative communication techniques combined with the proposed novel model of energy efficiency to develop a relay node deployment scheme that optimizes energy efficiency and uses it to extend the network lifecycle and improve the system throughput.Finally,an improved genetic particle swarm optimization algorithm is utilized to obtain the optimal relay node location information.Through simulation comparison,it is verified that this deployment strategy can effectively improve energyefficiency,extend the lifetime of the network and enhance the system throughput.2.For two-tier collaborative energy harvesting wireless sensor network,in order to optimize both the network reliability and sustainability.Firstly,for communication reliability of the unevenly distributed network of sensing nodes,this thesis describes the concept of relay node tightness to improve the network communication reliability by enhancing the relay node tightness.Secondly,this thesis optimizes the network energy consumption rate that is proposed to enhance nodes’ energy efficiency and prolong nodes’ lifetime in the network.Then,this thesis proposes a multi-objective optimization-based relay node deployment scheme to achieve a balanced optimization of the two objectives of network reliability and sustainability.Finally,the optimal relay node deployment location is obtained by improving the multi-objective optimization algorithm.Through simulation comparison,it is verified that this relay placement scheme can substantially prolong the life cycle of the system and boost communication reliability.