Research On Mobile Target Tracking Algorithm In Wireless Sensor Network

Sensor network is a new research area of computer science and technology,which consisting of many tiny sensors using wireless communication technologies. The wireless sensor network node has the ability of sensing, data processing and wireless communication. The wireless sensor network has a wide range of application prospects and can be used in military, environmental, health, space exploration and many other kinds of commercial applications.Localization and target tracking are fundamental and crucial issues for wireless network operation and management. Target tracking aims to be greater energy efficiency and more tracking accuracy.This can prolong the lifetime of the wireless sensor network.Firstly,we have present the state of research around the world of localization and target tracking.And we classify those localization arithmetic with their property.Secondly,we have built a model of wireless sensor network for application,in which we use mobile node as anchor node to lacalization.Then the model describe the process of how to configure the coordinate of anchor node.Mobile node will be active while the model is tracking target.After receiving messages from mobile nodes,anchor nodes provide localization service for mobile nodes.Using the continuity of object's motorial, this paper combines prediction of movement with distance measure and bring forward localization arithmetic with prediction of movement.This arithmetic doesn't need any additional hardware, and has wonderful adaptation capability. Especially in the moment when the density of beaconing node is little, it can obain larger correct odds and higher precision. We analyze the advantage and disadvantage of velocity adaptive target tracking(VATT) later. When tracking the target, we use acceleration and movment direction which are taken as the condition of prediction of movement to improve VATT. So we get more veritable track description.Finally,We provide some more intuitionistic criterions,which are evolved from universal criterions.Then we experiment to get a lot of useful data.Using these data,We compare the performance of similar arithmetics roundly.