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The Main objective of a Wireless Sensor Network (WSN) is to provide reliable and accurate information regarding the environment in which the sensors are deployed. Among the various applications of a sensor network, recent advances are with respect to detecting and predicting movements of a moving object in WSN. Detecting object is a challenging task due to failure of sensor nodes, high mobility of the object, processing of data acquired from object and communication between the sensors using wireless medium. Many approaches have been developed to address the issues of target tracking and predicting the future path and have provided solutions for the same. This approach proposes a new tracking framework, called FaceTrack, which employs the nodes of a spatial region surrounding a target, called a face. Instead of predicting the target location separately in a face, this approach estimates the target’s moving probability toward another face. It also introduces an edge detection algorithm to generate each face further in such a way that the nodes can prepare ahead of the target’s moving, which greatly helps tracking the target in a timely fashion and recovering from special cases, e.g., sensor fault, loss of tracking. Also, this approach develops an optimal selection algorithm to select which sensors of the face to query and to forward the tracking data. The approach also focuses on predicting probable future path of a moving object based on historical data about past movements of other objects using data mining algorithm.

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    • Wireless Sensor Network Surveillance System That Senses, Trails And Estimates The Future Path Of A Moving Object Reference Paper 00:00:00
    • Wireless Sensor Network Surveillance System That Senses, Trails And Estimates The Future Path Of A Moving Object Synopsis 00:00:00
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