Comparative view on Phenomenon Mobility Prediction Using Virtual Force-Based Interest Driven Monitoring Scheme with FP Growth

Rakhi Narkhede, U. K. Thakur, L. H. Patil

Abstract: In recent years, many new techniques have been introduced in Mobile Sensor Network. A new technique that is a monitoring scheme is developed for monitoring the moving phenomenon using virtual force called virtual force-based interest driven monitoring scheme. The scheme is evaluated in three variants VirFID-LIB, VirFID-GHL and VirFID-IBN. All these three algorithms perform different action on the MSN to achieve the highest interest value. This monitoring scheme can be extended for prediction of the next movement of the phenomenon. It can be done by applying the User-Mobility Pattern algorithm followed by the Mobility Prediction algorithm. For the applying the UMP and MP algorithm, the required data must be extracted from the database. This will result in the prediction about the next possible move of the phenomenon.

Keywords: Monitoring scheme, virtual force, interest value, distance, database, mobility pattern, prediction

How to Cite?: Rakhi Narkhede, U. K. Thakur, L. H. Patil, "Comparative view on Phenomenon Mobility Prediction Using Virtual Force-Based Interest Driven Monitoring Scheme with FP Growth", Volume 5 Issue 7, July 2016, International Journal of Science and Research (IJSR), Pages: 1351-1354, https://www.ijsr.net/getabstract.php?paperid=ART2016365, DOI: https://dx.doi.org/10.21275/ART2016365