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.

Tekur Vijetha,M.Sri Lakshmi,Dr.S.Prem Kumar."An Enhanced Predictive Proportion using TMP Algorithm in WSN Navigation". International Journal of Computer Engineering In Research Trends (IJCERT) ,ISSN:2349-7084 ,Vol.1, Issue 01,pp.37-43, July - 2014, URL :https://ijcert.org/ems/ijcert_papers/P6.pdf,

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