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Reseach Article

A Distributed Energy-Efficient Target Tracking Protocol for Three Level Heterogeneous Sensor Networks

by Yashveer Singh, Samayveer Singh, Rajeev Kumar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 51 - Number 11
Year of Publication: 2012
Authors: Yashveer Singh, Samayveer Singh, Rajeev Kumar
10.5120/8088-1572

Yashveer Singh, Samayveer Singh, Rajeev Kumar . A Distributed Energy-Efficient Target Tracking Protocol for Three Level Heterogeneous Sensor Networks. International Journal of Computer Applications. 51, 11 ( August 2012), 31-36. DOI=10.5120/8088-1572

@article{ 10.5120/8088-1572,
author = { Yashveer Singh, Samayveer Singh, Rajeev Kumar },
title = { A Distributed Energy-Efficient Target Tracking Protocol for Three Level Heterogeneous Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { August 2012 },
volume = { 51 },
number = { 11 },
month = { August },
year = { 2012 },
issn = { 0975-8887 },
pages = { 31-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume51/number11/8088-1572/ },
doi = { 10.5120/8088-1572 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:50:08.912466+05:30
%A Yashveer Singh
%A Samayveer Singh
%A Rajeev Kumar
%T A Distributed Energy-Efficient Target Tracking Protocol for Three Level Heterogeneous Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 51
%N 11
%P 31-36
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, a distributed energy-efficient target tracking protocol for three levels heterogeneous wireless sensor networks have been reported. We have proposed heterogeneous distributed algorithm HADEEPS, based on the scheduling and adjustable range that allow sensor nodes to go into different states. Here, three types of sensor nodes i. e super, advance and normal nodes are used in our simulated network. These sensor nodes used through a heterogeneity model that directly impact on the battery power of sensor nodes and shuffling the cover set over time. The simulation results for target tracking protocol HADEEPS verify that the overall network lifetime significantly improved as compared with existing protocols. Lifetime of the network increases with three level heterogeneity because energy consumption is low as compare to homogeneous.

References
  1. Akshaye Dhawan,"Distributed Algorithms for Maximizing the Lifetime of Wireless Sensor Networks", Doctor of Philosophy, Dissertation Under the direction of Sushil K. Prasad, December 2009,Georgia State University,Atlanta, Ga 30303.
  2. M. Cardei, J. Wu, M. Lu, Improving network lifetime using sensors with adjustable sensing ranges, International Journal of Sensor Networks, (IJSNET), Vol. 1, No. 1/2, 2006.
  3. Brinza, D. and Zelikovsky, A, "DEEPS: Deterministic Energy-Efficient Protocol for Sensor networks", ACIS International Workshop on Self-Assembling Wireless Networks (SAWN'06), Proc. of SNPD, pp. 261-266, 2006.
  4. M. Cardei, J. Wu, N. Lu, M. O. Pervaiz, "Maximum Network Lifetime with Adjustable Range", IEEE Intl. Conf. on Wireless and Mobile Computing, Networking and Communications (WiMob'05), Aug. 2005.
  5. Dilip Kumar, T. S. Aseri, R. B. Patel "EEHC: Energy efficient heterogeneous clustered scheme for wireless sensor networks", International Journal of Computer Communications, Elsevier, 2008, 32(4): 662-667, March 2009.
  6. Yingchi Mao, Zhen Liu, Lili Zhang, Xiaofang Li, "An Effective Data Gathering Scheme in Heterogeneous Energy Wireless Sensor Networks," cse, vol. 1, pp. 338-343, 2009 International Conference on Computational Science and Engineering, 2009.
  7. Dilip Kumar, T. S. Aseri, R. B Patel "EECHE: Energy-efficient cluster head election protocol for heterogeneous Wireless Sensor Networks," in Proceedings of ACM International Conference on Computing, Communication and Control-09(ICAC3'09), Bandra, Mumbai, India, 23-24 January 2009, pp. 75-80.
  8. P. Berman, G. Calinescu, C. Shah and A. Zelikovsky, "Power Efficient Monitoring Management in Sensor Networks," IEEE Wireless Communication and Networking Conference (WCNC'04), pp. 2329-2334, Atlanta, March 2004.
  9. Akshaye Dhawan and Sushil K. Prasad. A Distributed Algorithmic Framework for Coverage Problems in Wireless Sensor Networks. In Proceedings of the 22nd IEEE Parallel and Distributed Processing Symposium, 2008.
  10. Sushil K. Prasad and Akshaye Dhawan. "Distributed Algorithms for lifetime of Wireless Sensor Networks Based on Dependencies Among Cover Sets". In Proceedings of the 14th International Conference on High Performance Computing, Springer, pp. 381-392, 2007.
  11. A. Dhawan, C. T. Vu, A. Zelikovsky, Y. Li, and S. K. Prasad, "Maximum Lifetime of Sensor Networks with Adjustable Sensing Range", 2nd ACIS International Workshop on Selfassembling Wireless Networks, (SAWN 2006), Las Vegas, NV, June 19-20, 2006.
  12. M. Cardei, M. T. Thai, Y. Li, and W. Wu, "Energy-efficient target coverage in wireless sensor networks", In Proc. of IEEE Infocom, 2005.
  13. Samayveer Singh and Ajay K Sharma, "Energy- Efficient Data Gathering Algorithms for Improving Lifetime of WSNs with Heterogeneity and Adjustable Sensing Range", International Journal of Computer Applications 4(2):17–21, July 2010. Published By Foundation of Computer Science.
  14. Samayveer Singh and Ajay K Sharma, "A Heterogeneous Power Efficient Load Balancing Target-Monitoring Protocol for Sensor Networks", 2010 1st IEEE International Conference on Parallel, Distributed and Grid Computing (PDGC - 2010).
Index Terms

Computer Science
Information Sciences

Keywords

Wireless sensor networks energy-efficiency lifetime sensor nodes adjustable sensing range.