Volume 22, Issue 2, April 2016, Pages 323–330
M. Anto Bennet1, M. Mahesh2, T.R. Arun3, and M. Sudhakaran4
1 Professor, Department of Electronics and Communication Engineering, VELTECH, Chennai-600062, India
2 UG Student, Department of Electronics and Communication Engineering, VELTECH, Chennai-600062, India
3 UG Student, Department of Electronics and Communication Engineering, VELTECH, Chennai-600062, India
4 UG Student, Department of Electronics and Communication Engineering, VELTECH, Chennai-600062, India
Original language: English
Copyright © 2016 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The prediction based tracking technique using sequential patterns (PTSPs) designed to achieve significant reductions in the energy dissipated by the Object Tracking Sensor Network (OTSN) while maintaining acceptable missing rate levels. PTSP is tested against basic tracking techniques to determine the appropriateness of PTSP under various circumstances. The PTSP outperforms all the other basic tracking techniques and exhibits significant amounts of savings in terms of the entire network’s energy consumption total energy consumed. And it can be enhanced by using Voronoi techniques. Including the active and sleep mode energy consumption for each sensor node in the network, and missing rate which represents a ratio of the missing reports to the total number of reports received by the application.
Author Keywords: prediction based tracking technique using sequential patterns (PTSPs), Object Tracking Sensor Network (OTSN), Wireless Sensor Networks (WSN), Group Probability Suffix Tree (GPSTs), Data Aggregation Algorithm (GDAR).
M. Anto Bennet1, M. Mahesh2, T.R. Arun3, and M. Sudhakaran4
1 Professor, Department of Electronics and Communication Engineering, VELTECH, Chennai-600062, India
2 UG Student, Department of Electronics and Communication Engineering, VELTECH, Chennai-600062, India
3 UG Student, Department of Electronics and Communication Engineering, VELTECH, Chennai-600062, India
4 UG Student, Department of Electronics and Communication Engineering, VELTECH, Chennai-600062, India
Original language: English
Copyright © 2016 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
The prediction based tracking technique using sequential patterns (PTSPs) designed to achieve significant reductions in the energy dissipated by the Object Tracking Sensor Network (OTSN) while maintaining acceptable missing rate levels. PTSP is tested against basic tracking techniques to determine the appropriateness of PTSP under various circumstances. The PTSP outperforms all the other basic tracking techniques and exhibits significant amounts of savings in terms of the entire network’s energy consumption total energy consumed. And it can be enhanced by using Voronoi techniques. Including the active and sleep mode energy consumption for each sensor node in the network, and missing rate which represents a ratio of the missing reports to the total number of reports received by the application.
Author Keywords: prediction based tracking technique using sequential patterns (PTSPs), Object Tracking Sensor Network (OTSN), Wireless Sensor Networks (WSN), Group Probability Suffix Tree (GPSTs), Data Aggregation Algorithm (GDAR).
How to Cite this Article
M. Anto Bennet, M. Mahesh, T.R. Arun, and M. Sudhakaran, “Certain Investigations of an energy Efficient Predictive Technique Using OTSN,” International Journal of Innovation and Scientific Research, vol. 22, no. 2, pp. 323–330, April 2016.
