Spatial Sensor Network Based Target Tracking By Classification

Krishna , Choppa Vivek (2015) Spatial Sensor Network Based Target Tracking By Classification. MTech thesis.



The wide use of sensor networks in the day to day communication in recent trends made tracking a significant feature in monitoring systems. The automated systems capable of detection and tracking of targets is a desirable application in many fields. Firstly, deploy a sensor network with appropriate space between sensors and then introduce targets into the network. As the sensors detect the targets, each sensor communicates with neighborhood sensor nodes and one of those sensors are elected as cell-head which will calculate the position of target from the data and transmit that to sink. This process is repeated iteratively to track the moving target. Feature extraction methods and classification techniques have been studied to classify targets by their type. For the challenging task of Multi-target tracking, the methods of sequential Bayesian filtering and Sequential Monte Carlo-Particle Hypothesis Density filters are sought. Accurate algorithms have been simulated for Localization and tracking of target using the data of sensor strengths which are collaboratively communicated among the sensors. Direction of moving target inside a cell was estimated. Algorithm for Hierarchical multi-hop communication model was established.

Item Type:Thesis (MTech)
Uncontrolled Keywords:Sensor network,Multi-hop communication, Multi-target.
Subjects:Engineering and Technology > Electronics and Communication Engineering > Sensor Networks
Engineering and Technology > Electronics and Communication Engineering > Signal Processing
Divisions: Engineering and Technology > Department of Electronics and Communication Engineering
ID Code:7077
Deposited By:Mr. Sanat Kumar Behera
Deposited On:22 Feb 2016 16:20
Last Modified:22 Feb 2016 16:20
Supervisor(s):Sahoo, U K

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