Research On The Optimization Of Energy-Efficiency For WSNs Based On SWIPT Technology

Wireless Sensor Networks(WSNs)are widely used in various fields and are one of the important supporting technologies for the perception layer of the Internet of Things.How to maximize its energy efficiency is currently an important research topic.The existing research on energy efficiency optimization of WSNs has the following two problems.Problem 1,traditional energy harvesting is limited by many external factors,lacks stability,and energy harvesting efficiency is low;Problem 2,classic routing protocols are unreasonable in cluster head election and inter-cluster routing.The cluster head election does not consider node energy.Multi-hop transmission between clusters consumes a lot of energy,and the node energy utilization rate is low,resulting in the network life cannot be further extended.Aiming at the problem that traditional energy harvesting is limited by time and space factors and is unstable in Problem 1,this paper proposes a clustered network model based on Simultaneous Wireless Information and Power Transfer(SWIPT)technology.The model uses SWIPT technology,which can convert a part of the radio frequency signal(RF)into electric energy,and use the other part of the radio frequency signal for information decoding,so as to realize the synchronous transmission of information and energy,and is not affected by changes in the external environment.Can achieve the effect of prolonging the life of the network.In the clustered network model based on the SWIPT module,the clustered routing architecture is used to realize the data forwarding and transmission of the network.The network energy efficiency is optimized based on the SWIPT technology in the cluster,and the decision of the optimal power split ratio of the network energy efficiency is studied and built Modulus is an optimization problem.By solving the optimization problem,the energy efficiency can be maximized.Aiming at the problems of cluster head election and unreasonable inter-cluster routing in the classic routing protocol in the second question,an inter-cluster routing optimization algorithm is proposed.This algorithm is called a hierarchical energyaware weight routing algorithm.In terms of cluster head election,the election of random cluster heads in the classic LEACH protocol is optimized,and the Softmax function is added to measure the remaining energy of the node,which effectively prevents the energy from being too low.The node serves as the cluster head node,and the node with higher remaining energy is preferentially selected as the cluster head node,which improves the energy utilization rate in the network.In terms of intercluster routing,during the communication between the cluster head node and the base station,the remaining energy of the cluster head node is compared with the routing weight to form an optimal routing path,reduce network energy consumption,extend network life,and increase network energy used efficiency.In this paper,a large number of simulation experiments on the above models and algorithms are carried out based on MATLAB.The experimental results show that the routing optimization algorithm under the clustered network model based on SWIPT technology has good scalability,compared with the classic LEAHC protocol and the improved i LEACH protocol.Significantly improve the effect,can effectively extend the service life of wireless sensor networks in different network scales,and can achieve the purpose of green communication under energy-constrained conditions,which provides a theoretical basis for extending the service life of wireless sensor networks.