Increasing Lifetime of Target Tracking Wireless Sensor Networks

A model to identify the lifetime of target tracking wireless sensor network is proposed. The model is a static clusterbased architecture and aims to provide two factors. First, it is to increase the lifetime of target tracking wireless sensor network. Secondly, it is to enable good localization result with low energy consumption for each sensor in the network. The model consists of heterogeneous sensors and each sensing member node in a cluster uses two operation modes–active mode and sleep mode. The performance results illustrate that the proposed architecture consumes less energy and increases lifetime than centralized and dynamic clustering architectures, for target tracking sensor network.

Authors:

• Khin Thanda Soe

Keywords:

• Network lifetime
• Target Localization
• TargetTracking
• Wireless Sensor Networks.

References:

[1] A. Arora, P. Dutta, S. Bapat, V. Kulathumani, H. Zhang, V. Naik, V.
Mittal, H. Cao, M. Demirbas, M. Gouda, Y. Choi, T. Herman, S.
Kulkarni, U. Awmugam, M. Nesferenko, A. Vora, M. Miyashita, "A line
in the sand: A wireless sensor network for target detection,
classification, and tracking", Computer Networks Journal, Elsevier
North-Holland, Inc., New York, USA, December 2004, Vol. 46, Issue 5,
pp. 605-634.
[2] A. Mainwaring, J. Polastre, R. Szewczyk, D. Culler and J. Anderson,
"Wireless sensor networks for habitat monitoring", WSNA-02, ACM,
Atlanta, Georgia, USA, September 28, 2002.
[3] D. Li, K. D. Wong, Y. H. Hu and A. M. Sayeed, "Detection,
classification and tracking of targets in distributed sensor networks",
IEEE Signal Processing Magazine, March 2002, Vol. 19, No. 2, pp. 17-
29.
[4] E. Olule, G. Wang, M. Guo, M. Dong, "RARE: an energy efficient
target tracking protocol for wireless sensor networks", 2007
International Conference on Parallel Processing Workshops, 10-14
September 2007, pp. 76-82.
[5] F. Zhao, J. Shin, J. Reih, "Information driven dynamic sensor
collaboration for tracking applications", IEEE Signal Processing
Magazine, March 2002, pp 61-72.
[6] J. Lee, K. Cho, S. Lee, T. Kwon, Y. Choi, "Distributed and energyefficient
target localization and tracking in wireless sensor networks",
Elsevier Computer Communications (COMCOM), 21 August 2006, pp.
2494-2505.
[7] J. N. Ash and R. L. Moses, "Acoustic time delay estimation and sensor
network self localization", Journal of the Acoustical Society of America,
August 2005, Volume 118, Issue 2, pp. 841-850.
[8] K. T. Soe, "An energy-efficient target tracking system in wireless sensor
networks", ICCA2008, Yangon, Myanmar, Feb 14-15, 2008.
[9] M.H.F. Ghazvini, M.F.A. Rasid, R. S. A. R. Abdullah, and M. Vahabi,
"EMAC: Efficient MAC protocol design for wireless sensor networks",
IJCSNS International Journal of Computer Science and Network
Security, VOL.8 No.6, June 2008, pp. 221-226.
[10] T. He, S. Krishnamurthy, J. A. Stankovic, T. Abdelzaher, L. Luo, R.
Stoleru, T. Yan, L. Gu, J. Hui, B. Krogh, "Energy-efficient surveillance
system using wireless sensor networks", Proceedings of the 2nd
international conference on Mobile systems, applications, and services,
Boston, MA, USA, 2004, pp. 280 - 283.
[11] W.P. Chen, J.C. Hou, L. Sha, "Dynamic clustering for acoustic target
tracking in wireless sensor networks, IEEE Transaction on Mobile
Computing, July - September 2004, Vol. 3, No. 3, pp. 258-281.
[12] X. Sheng and Y. H. Hu, "Collaborative Source Localization in Wireless
Sensor Network System", GLOBECOM2003, San Francisco, USA,
December 1-5, 2003.
[13] X. Sheng and Y.H. Hu, "Energy based acoustic source localization",
IPSN 2003, Springer-Verlag, Berlin Heidelberg, April 22-23, 2003, pp.
285-300.
[14] X. Sheng and Y. H. Hu, "Sequential acoustic energy based source
localization using particle filter in a distributed sensor network",
ICASSP2004, Institute of Electrical and Electronics Engineers Inc.,
Piscataway, United States, May 18-21 2004, pp. 982-985.