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Multiple Target Tracking using Kalman Filter in MSN


Author : Manikeshwari Hosmani and Jayashree Agarked

Pages : 2858-2861
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Abstract

A wireless sensor network is a collection of nodes organized into a cooperative network. Wireless sensor networks (WSNs) have gained worldwide attention in recent years, particularly with the proliferation in Micro-Electro-Mechanical Systems (MEMS) technology which has facilitated the development of smart sensors. Target Tracking is an important problem in sensor networks, where it dictates how accurate a targets position can be measured. Target tracking in WSNs is an important problem with a large spectrum of applications such as surveillance, natural disaster relief ,traffic monitoring pursuit evasion games, etc Tracking a target as it moves through a sensor network has become an increasingly important application for sensor networks. This work proposes a unique target tracking algorithm where multiple sensor nodes called anchors monitors the position of multiple moving objects and tries to predict the actual position of the nodes based on the data obtained. We simulate the algorithm in matlab and analyze the performances of speed v/s tracking accuracy, number of mobile objects v/s tracking accuracy, number of sensors v/s tracking accuracy.

Keywords: Mobile sensor network, target tracking, Non GPS , tracking accuracy

Article published in International Journal of Current  Engineering  and Technology, Vol.4,No.4 (Aug- 2014)

 

 

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