Research On Energy Saving Routing Algorithm In Radio Frequency Charging Wireless Sensor Network

Wireless sensor networks(Wireless Sensor Networks,WSN)is a multi hop network composed of a large number of micro,low cost and low power sensor nodes deployed in the monitoring area.The purpose of the wireless sensor network is to collaborate awareness and data acquisition on the monitoring objects of the network coverage area,and send the collected data to the user through the wireless multi hop.Sensor nodes are powered by batteries,and their energy is limited.The nodes deployed in harsh environments are not convenient to replace batteries.Therefore,the energy problem has become a bottleneck restricting the working life of WSN.In order to solve this problem,the main improvement methods are:improving battery capacity,reducing energy consumption of nodes,adopting energy saving technology,using new energy(wind energy,solar energy)to prolong the working life of the network.In addition to using wind power and solar energy,the radio frequency energy of the new energy is also already available.It is seen as a potentially available energy.In the research of wireless sensor networks based on radio frequency power supply,the base station is charged by the downlink for the terminal node,and the terminal node uses the collected radio frequency energy signal to transmit the information.The main research contents are model modeling of radio frequency charging battery,energy resource allocation of nodes,interruption probability and channel capacity analysis of communication system,network routing protocol and delay analysis of data transmission throughput.This paper mainly studies the clustering energy saving routing algorithm and mobile Sink data collection algorithm based on radio frequency energy collection.The main contents include the following two items:1)In this paper,a heterogeneous network clustering routing algorithm is proposed in the heterogeneous wireless sensor network composed of advanced radio frequency charging nodes and common nodes,considering the effect of node type,residual energy and RF supply energy on network working life.The algorithm constructs cluster head selection based on the residual energy and recharge energy of nodes.The selection function increases the probability of the advanced node being selected as cluster head and equalizer the energy consumption of the network.Finally,we use MATLAB simulation software to simulate the network life cycle and network energy,and compare it with other routing clustering algorithms.The results show that the number of nodes surviving by clustering algorithm is increased by 25%,meanwhile,the lifetime of network is prolonged,and the energy consumption of network is balanced.2)On the basis of mobile Sink data collection,this paper studies the wireless radio frequency power supply for nodes using mobile Sink.A mobile Sink data collection mechanism is proposed.Under the assumption that there is enough data to be forwarded in the network,the mobile Sink provides radio frequency power supply and data acquisition to nodes in the network during the residing point.The relationship between radio frequency charging time,data collection time and network throughput is derived,the mathematical expression of network throughput is obtained,and the optimal value of network throughput is proved.Finally,the MATLAB simulation is used to verify it.