An Enhanced Predictive Proportion using TMP Algorithm in WSN Navigation
Main Article Content
Abstract
Numerous organizing toward oneself sensor nodes may work together and build a disseminated
monitoring, wireless Sensor Network (WSN) later on. Recently, various WSN applications have
been utilizing GPS gadgets to track and place the position of the remote sensor nodes. Because
of costly hardware assets and power requirements of the sensor nodes, the use of GPS equipment
in WSN application is still unattainable. The target following frameworks which are as of now
being used assessing the position of moving target focused around estimations on Received
Signal Strength (RSS), Time of Arrival (TOA), Angle of Arrival (AOA) and Time Difference of
Arrival (TDOA). These estimations are less judicious for the application, which requires
exceedingly exact target following. This paper proposes a Target Movement Prediction
Algorithm (TMPA) focused around topological directions. TMPA utilizes Topological Preserving
Maps (TPM) to track and explore the area of the target and Adaptive Weighted Target Tracking
(AWTT) procedure consolidates blame and enhances the precision in the expectation. Our
reenactment results indicate that the time taken to distinguish the target developments is
impressively low and change in forecast degree.
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