The Design Of Wireless Rechargeable Sensor Networks Charging Planning

The Internet of things(Internet Of Things,IOT)is an important part of information technology in the new era.It is also an important stage of development in the era of "informatization".IOT will really achieve that Internet connected with things.Nowadays,the global Internet of things is becoming more and more popular,and the market for future IOT will have unlimited potential.The essence of the IOT is that through the information sensing devices such as sensors,Radio Frequency Identification(Radio Frequency Identification,RFID)and so on,according to a certain constraint agreement,things are connected with the Internet to realize the exchange of communication and information.IOT is an intelligent network with the capability of monitoring,identifying,locating and tracking.Wireless sensor networks(Wireless Sensor Networks,WSNs)is a part of the IOT underlying sensing network,and it is composed of a large number of sensor nodes with low energy consumption and small volume in a specific monitoring area,and at the same time the nodes communicate with each other wirelessly.WSNs is a self-organizing information collection network,it can be widely used in IOT such as Internet of cars,medical health,environmental monitoring and smart home.The energy-finiteness of sensor nodes in traditional WSNs has been a key factor in the development of WSNs,thus the wireless rechargeable sensor networks(Wireless Rechargeable Sensor Networks,WRSNs)with the ability to actively collect energy from surrounding environment is widely concerned by domestic and foreign scholars.WRSNs gradually becomes a new research hotspot.WRSNs is more suitable for situations where sensor nodes are randomly scattered in dangerous,bad,and unattended scenarios.It is no longer necessary to replace the battery on a regular basis,but to capture the wireless energy from the space which can effectively solve the problem of energy limitation of the nodes and ensure the long-term operation of the monitoring network.WRSNs consists of a certain number of sensor nodes which can collect energy and it consists of a number of removable wireless charging vehicles(Mobile Charger,MC).A sensor node with energy supply requirement in the network will send a charging request to the base station.The base station sends a charging mission to an MC on call.After the MC receives the task,it moves from the base station to the charging area to start a round of scheduling.Therefore,it is very important to study and design a reasonable charging plan for the long-term operation of WRSNs.In this paper,the charging planning of wireless rechargeable sensor network is studied and the charging plan of WRSNs is designed mainly from two aspects,sensor network model and charging strategy.So the charging network also has a higher network utility in addition to the normal work.The main work and contribution of the article include the following aspects:(1)This paper proposes a single-charging vehicle WRSNs charging scheduling design based on CLP algorithm.The wireless rechargeable sensor network adopts the unequal clustering and multiple-hops routing protocol.It also choose the node which has the lowest energy in its cluster as the head node in each cluster,and the mobile charger provides energy supply just for the cluster head nodes and collects the energy information of sensors in each cluster.After each round of the charging schedule,the mobile charger sends the energy message to the base station,and the base station adopts the Markov model to forecast the energy consumption of the sensors in each cluster in order to optimize the selection of charged target next time before the start of next new charging scheduling.Compared with TSP algorithm network,the results of simulation show that CLP algorithm could be able to improve the network utility nearly 20 percent,and the ability of data transmission of nodes is increased nearly 17 percent.(2)In this paper,a multi-charging vehicle WRSNs charging scheduling design based on K-PPER algorithm is proposed.The network adopts the k-means optimization algorithm to divide WRSNs into clusters,and completes the network performance improvement of the cluster head election and data transmission.The K-PPER algorithm uses a charging strategy for each cluster corresponding to an MC.The base station will manage the charging request nodes within the network by cluster.The node with the charging request is added to the charging sequence of the belonging cluster.And it would sort within each sequence according to the node's charging priority from big to small.For clusters that meet the charging conditions,the base station will send the MC to the cluster to start charging according to the priority of the nodes in the sequence.The experimental results show that the network utility of k-means Improvement is about 42% higher than k-means.With the number of nodes in the network increasing from 150 to 400,the energy utility of K-PPER algorithm increases by about 4% compared with DCLK algorithm,and it increases by about 18% compared with DC algorithm.