ENERGY EFFICIENT TRACKING SYSTEM USING WIRELESS SENSORS
Keywords:
WSN;, energy, target tracking, sleep scheduling, duty cycling, Castalia, SPANAbstract
One of the most important applications of wireless sensor networks (WSNs) is surveillance system, which is used to track moving targets. WSN is composed of a large number of low cost sensors which operate on the power derived from batteries. Energy efficiency is an important issue in WSN, which determines the network lifetime. Due to the need for continuous monitoring with 100% efficiency, keeping all the sensor nodes active permanently leads to fast draining of batteries. Hence there is a need to design a tracking system which conserves energy without affecting its ability to track accurately. In our paper, we present energy efficient tracking system which keeps sensor nodes in sleep mode and awakens only those nodes which lie on the path of target. By allowing the nodes to be in sleep mode for maximum amount of time, this algorithm saves lot of energy. This is proved by simulating our system using OMNeT++ simulator and Castalia framework.
References
G.Padmavathi, D. Shanmugapriya, M.Kalaivani, ―A study on vehicle detection and tracking using wireless sensor networks‖, Scientific Research-Wireless Sensor Network, 2010, pg 173
Bo Jiang, Binoy Ravindran, Hyeonjoong Cho, ‖Probability-based prediction and sleep scheduling for energy-efficient tracking in sensor networks‖, IEEE Transactions in Mobile Computing, VOL 12, NO. 4, April 2013, pg 735
F. Shebli, I. Dayoub and J.M. Rouvaen ,‖Minimizing energy consumption within wireless sensor networks‖, University of Valenciennes (IEMN, UMR CNRS 8520) Le Mont Houy, BP311, 59313-Valenciennes Cedex, France
I.F. Akyildiz, W. Su, Y. Sankarasubramaniam, E. Cayirci, ‖Wireless sensor networks: A survey‖ , Elsevier, 2001, pg 393
Giuseppe Anastasi, Marco Conti, Mario Di Francesco, Andrea Passarella, ―Energy Conservation in Wireless Sensor Networks: a Survey‖, FP6-2005-NEST-PATH MEMORY PROJECT
http:// en.wikipedia.org/wiki/Wireless_sensor_network
http:// www.engineersgarage.com/articles/sensors
http://en.wikipedia.org/wiki/Low_Energy_Adaptive_Clustering_hierarchy
http://www.cse.wustl..edu/~jain/cse567-11/ftp/sensor/index.html
http://home.iitk.ac.in/~rajeevs/snw.html
http://www.lockheedmartin.com/us/products/span.html
http://www.textrondefense.com/products/brigade-combat-teammodernization
OMNet++ Installation guide version 4.3
Athanassios Boulis, ―Castalia User manual‖
Emad Felemban, ―Advanced Border Intrusion Detection and Surveillance Using Wireless Sensor Network Technology‖, Int. J. Communications, Network and System Sciences, 2013, pg 251
Gnu plot user manual
Prof. Sachin Deshpande, Prof. Umesh Kulkarni, Prof. Mrityunjaykumar Ojha, ―Target Tracking in Wireless Sensor Network‖, International Journal of Emerging Technology and Advanced Engineering, Volume 3, Issue 9, September 2013, pg 177
Wensheng Zhang, Guohong Cao, ―DCTC: Dynamic Convoy TreeBased Collaboration for Target Tracking in Sensor Networks‖, IEEE Transactions on Wireless Communications, VOL 3, NO 5, September 2004, pg 1689
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2014 COMPUSOFT: An International Journal of Advanced Computer Technology
This work is licensed under a Creative Commons Attribution 4.0 International License.
©2023. COMPUSOFT: AN INTERNATIONAL OF ADVANCED COMPUTER TECHNOLOGY by COMPUSOFT PUBLICATION is licensed under a Creative Commons Attribution 4.0 International License. Based on a work at COMPUSOFT: AN INTERNATIONAL OF ADVANCED COMPUTER TECHNOLOGY. Permissions beyond the scope of this license may be available at Creative Commons Attribution 4.0 International Public License.