Research On Target Tracking And Energy Saving Algorithms In Wireless Sensor Networks

In many applications of sensor networks,target tracking in sensor networks has become a research hotspot.By monitoring the sensor nodes in the network to cooperate with each other to sense and locate the target,and to process the target information after processing the target and feedback the user's process,we call it the mobile target tracking technology based on the wireless sensor network.However,the limitations of sensor nodes themselves,such as limited energy supply time,insufficient computing power,and limited communication range,make the use of traditional tracking algorithms in target tracking technology no longer applicable.This article aims to study energy-saving tracking technology based on wireless sensor networks.(1)The most primitive target tracking is from the beginning to the end.All the nodes in the wireless sensor network participate in the tracking of the target,but the service life of the node is limited.To solve this problem,this paper proposes a probabilistic model and Kinematics to predict the target's movement trajectory,according to the current moment of the movement of the target state of the next trajectory of the target track,ahead of time so that the surrounding nodes are working,waiting for the tracking target,other nodes sleep to save energy.Scheduling nodes based on the target's movement trajectory can not only ensure the target's tracking performance,but also can effectively save the energy consumption of the network.(2)In order to reduce the energy consumption of the network,we proceed from the target tracking process and divide the whole process into two phases.The target discovery phase and the acquisition target information phase require different numbers of nodes participating in the tracking for different phases.Different node scheduling strategies are used to save network energy consumption.We call this two-phase node scheduling algorithm based on the tracking process.The algorithm considers the issues of energy saving and tracking performance from the perspective of the tracking process,and ensures the reduction of network energy consumption while balancing the target tracking performance.(3)Combining with practical applications,according to different tracking quality requirements,dynamically select different numbers of nodes to participate in tracking targets and maximize the monitoring network's life cycle.In the case of ensuring that the tracking error threshold is met,the set of nodes with the largest remaining energy is selected to participate in the tracking of the target to extend the life cycle of the wireless sensor network.