We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Reseach Article

Article:A Comprehensive Review on Energy Conserved Multi-object Tracking over Wireless Sensor Networks

by S.P.Ponsudha, R.Lakshmi Priya, L. Josline Edward
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 23 - Number 2
Year of Publication: 2011
Authors: S.P.Ponsudha, R.Lakshmi Priya, L. Josline Edward
10.5120/2861-3680

S.P.Ponsudha, R.Lakshmi Priya, L. Josline Edward . Article:A Comprehensive Review on Energy Conserved Multi-object Tracking over Wireless Sensor Networks. International Journal of Computer Applications. 23, 2 ( June 2011), 23-28. DOI=10.5120/2861-3680

@article{ 10.5120/2861-3680,
author = { S.P.Ponsudha, R.Lakshmi Priya, L. Josline Edward },
title = { Article:A Comprehensive Review on Energy Conserved Multi-object Tracking over Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { June 2011 },
volume = { 23 },
number = { 2 },
month = { June },
year = { 2011 },
issn = { 0975-8887 },
pages = { 23-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume23/number2/2861-3680/ },
doi = { 10.5120/2861-3680 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:09:09.385069+05:30
%A S.P.Ponsudha
%A R.Lakshmi Priya
%A L. Josline Edward
%T Article:A Comprehensive Review on Energy Conserved Multi-object Tracking over Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 23
%N 2
%P 23-28
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Sensor networks are used in wide variety of real-world applications including detecting, tracking and monitoring. One of the main issues in the deployment of the sensor nodes in the field of target tracking is power optimization. Various methods of target tracking are available such as making improvement in hardware, processor design etc. But still, an optimized solution to this problem is not available. To rectify this problem here we formulate the mechanism that the sensors may be put into a sleep mode with a timer that determines the sleep duration. The assumption made is that a sensor that is asleep cannot be with or waken up, and hence the sleep duration depends on the timely information it receives during the awaken period. The objective is to track the location of the objects to within the accuracy of the range of the sensor. The result is in the form of a trade-off between the energy savings and the tracking errors that result from the sleeping policies of the sensors. Sub-optimal sleeping policies that optimize this trade-off are designed, and their performance in a different tracking architecture is examined.

References
  1. B. Gholamzadeh, and H. Nabovati, “Concepts for Designing Low Power Wireless Sensor Network”, World Academy of Science, Engineering and Technology, issue: 45, pp. 559–565, 2008.
  2. Zheng Zeng-wei, Wu Zhao-hui, Lin Huai-zhon, Hangzhou, “An event-driven clustering routing algorithm for wireless sensor networks”, proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, vol. 2, pp. 1802–1806, 2004.
  3. G. Chen, S. Hanson, D. Blaauw, Sylvester, “Circuit Design Advances for Wireless Sensing Applications”, proceedings of the IEEE, vol. 98, issue: 11, pp. 1808–1827, 2010.
  4. D.Petrovic, R.C.Shah, K.Ramchandran, Rabaey, “Data funneling: routing with aggregation and compression for wireless sensor networks”, proceedings of the First IEEE International Workshop on Sensor Network Protocols and Applications, pp. 156–162, 2003.
  5. Xiaoyan Yin, Xingshe Zhou, Yanjing Lei and Shining Li, “An Energy Efficient Scheduling Scheme for Target Tracking Wireless Sensor Networks”, proceedings of International Conference on Intelligent Control and Information Processing, pp. 506–511, 2010.
  6. Venugopal V. Veeravalli and Jason A. Fuemmeler,”Efficient Tracking in a Network of Sleepy Sensors”, International Conference on Acoustics, Speech and Signal Processing, vol. 13, pp. 6003–6006, 2006.
  7. J. Liu, M. Chu, and J. E. Reich, “Multitarget tracking in distributed sensor networks,” IEEE Signal Procesing Magazine, vol. 24, no. 3, pp. 36–46, May 2007.
  8. H. Yang and B. Sikdar, “A protocol for tracking mobile targets using sensor networks,” proceedings of 1st IEEE International Workshop on Sensor Network Protocols and Applications, pp. 71–81, May 2003.
  9. Aysegul Alaybeyoglu, Orhan Dagdeviren, “A Distributed Wakening Based Target Tracking Protocol for Wireless Sensor Networks,” proceedings of the 4th International Symposium Information Processing in Sensor Networks, pp. 246–253, April 2005.
  10. Jason A.Fuemmeler and Venugopal V.Veeravalli “Energy Efficient Multi-object tracking in Sensor Networks”,IEEE Transations on Signal Processing,vol.58,Issue..7,July.2010
  11. Y. Xu, J. Winter, and W.-C. Lee, “Prediction-based strategies for energy saving in object tracking sensor networks,” proceedings of IEEE International Conference on Mobile Data Management, pp. 346–357, 2004.
  12. L. Yang, C. Feng, J. W. Rozenblit, and J. Peng, “A multi-modality framework for energy efficient tracking in large scale wireless sensor networks,” proceedings of IEEE International Conference on Networks, Sensor and Control, pp. 916–921, April 2006.
  13. J. A. Fuemmeler and V. V. Veeravalli, “Smart sleeping policies for energy efficient tracking in sensor networks,” IEEE Transactions on Signal Processing , vol. 56, no. 5, pp. 2091–2101, May 2008.
  14. J. Liu, M. Chu, and J. E. Reich, “Multitarget tracking in distributed sensor networks,” IEEE Signal Processing. Magazine, vol. 24, no. 3, pp. 36–46, May 2007.
  15. Yeow, Chen-Knong tham, Wai-choong Wong, “Energy Efficient Multiple Target Tracking in Wireless Sensor Networks”, IEEE Transactions on Vehicular Technology, Vol: 56 , Issue: 2, pp: 918 – 92,2007.
  16. R. R. Brooks, P. Ramanathan, and A. M. Sayeed, Distributed target classification and tracking in sensor networks,” Proc. IEEE, vol. 91, no.8, pp. 1163–1171, Aug. 2004.
Index Terms

Computer Science
Information Sciences

Keywords

Target tracking Detecting Monitoring Energy efficiency Power optimization Centralized and Decentralized tracking