Improved Prediction Ratio using Target Movement Prediction Algorithm in Wireless Sensor Networks Navigation

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Provided by: The International Journal of Innovative Research in Computer and Communication Engineering
Topic: Networking
Format: PDF
Thousands of self-organizing sensor nodes may collaborate and establish a distributed monitoring, Wireless Sensor Network (WSN) in the future. Of late, numerous WSN applications have been using GPS devices to track and locate the position of the remote sensor nodes. Due to expensive hardware resources and power constraints of the sensor nodes, the usage of GPS hardware in WSN application is still unattainable. The target tracking systems which are already in use estimating the position of moving target based on measurements on Received Signal Strength (RSS), Time Of Arrival (TOA), Angle Of Arrival (AOA) and Time Difference Of Arrival (TDOA).
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