Charging And Target Tracking In Wireless Sensor Networks Research

Wireless sensor network refers to the deployment of a large number of sensor nodes with communication and computing capabilities in a designated area.The "smart" monitoring system composed of wireless sensor networks can monitor target information and collect environmental information,and has a broad application prospect.However,due to the limited battery capacity carried by the sensor node,the life of the network is severely limited,and the application of the wireless sensor network is limited.With the development and breakthrough of wireless energy transmission technology,many scholars have proposed to deploy a charging car in a wireless sensor network,and to extend the life of the network by periodically replenishing the sensor nodes to make the application range wider.When charging the sensor nodes,using a charging car for charging scheduling is an important issue in the field of wireless sensor network research.By charging sensor nodes,the life of the network is prolonged,and the application of wireless sensor networks is becoming wider and wider.Target tracking is one of the most important applications.If the target monitored by the sensor node does not contain position information,in practical applications,it loses its due value.Based on reading a lot of existing research results in related fields,this article studies charging issues and target tracking.The research contents are as follows:(1)For the charging problem in wireless sensor networks,most studies only consider the remaining energy of the sensor nodes.The charging car first charges the nodes with less remaining energy.This charging method will cause the charging car to waste more energy.On the charging path.This paper comprehensively considers the remaining energy of the sensor node and the distance from the charging trolley to the sensor,and proposes a weight-based charging algorithm.Firstly,a mathematical model of the path optimization problem of the charging car of the wireless rechargeable sensor network is constructed,and then the goals and constraints that the charging car needs to achieve during the charging process are explained.Through simulation experiments,our charging scheduling algorithm is compared and analyzed.The results show that our algorithm works well in small-scale wireless sensor networks and effectively solves the problem of path selection for charging cars.(2)Aiming at the problem of target tracking in wireless sensor networks,previous research only considered network model information and data information to track targets.This paper first uses the maximum likelihood estimation method to locate the target more accurately,and then uses the Bayesian statistical method to predict the position information of the target,taking fully into account the prior information of the target;then based on the prediction information,the prediction tracking Field selection activates the sensor node.Experiments based on simulation data prove that our algorithm can effectively reduce energy consumption,ensure better energy conservation,and extend the life cycle of the network while ensuring tracking accuracy.