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Improvement of Adaptive Target Tracking Protocol (ATTP) in Wireless Sensor Networks

by Elham Ahmadi, Masoud Sabaei
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 39 - Number 13
Year of Publication: 2012
Authors: Elham Ahmadi, Masoud Sabaei
10.5120/4884-6153

Elham Ahmadi, Masoud Sabaei . Improvement of Adaptive Target Tracking Protocol (ATTP) in Wireless Sensor Networks. International Journal of Computer Applications. 39, 13 ( February 2012), 36-39. DOI=10.5120/4884-6153

@article{ 10.5120/4884-6153,
author = { Elham Ahmadi, Masoud Sabaei },
title = { Improvement of Adaptive Target Tracking Protocol (ATTP) in Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { February 2012 },
volume = { 39 },
number = { 13 },
month = { February },
year = { 2012 },
issn = { 0975-8887 },
pages = { 36-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume39/number13/4884-6153/ },
doi = { 10.5120/4884-6153 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:26:24.837704+05:30
%A Elham Ahmadi
%A Masoud Sabaei
%T Improvement of Adaptive Target Tracking Protocol (ATTP) in Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 39
%N 13
%P 36-39
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In Adaptive Target Tracking Protocol (ATTP), at first, the total area that the target would appear there is estimated, after that some candidate wakening up areas and volunteer sampling time intervals are defined. Then by using an extended Kalman filter (EKF)-based estimation technique and energy consumption model, the best candidate wakening up area and sampling time intervals are determined. In this paper, we focus more on the definition of candidate wakening up areas. In other words, we improve the ATTP protocol in a way that the candidate wakening up areas are defined according to target’s mobility model. The simulations illustrate that the improved protocol makes much progress in the accuracy of tracking.

References
  1. H. W. Tsai, C. P. Chu, T. S. Chen, “Mobile object tracking in wireless sensor networks,” Computer Communication, 2007, 30(8): 1811-1825.
  2. E. Ahmadi, M. Sabaei, M. H. Ahmadi “A New AdaptiveMethod for Target Tracking in Wireless Sensor Networks”,International Journal of Computer Applications, volume22,No.9, 2011, pp.21-29.
  3. Sara Pino-Povedano, Francisco-Javier Gonzalez Serrano, “Distributed Tracking and Classification of Targets with Sensor Networks,” IEEE 2009.
  4. Z. Guo, M. Zhou and L. Zakrevski, "Optimal Tracking Interval for predictive Tracking in wireless Sensor Networks," IEEE Communication Letters, vol. 9, No.9, Sept 2005.
  5. L. Yang, C. FENG, J. W. Rozenblit , and H. Qiao, "Adaptive Tracking in distributed Wireless Sensor Networks," in proc. Of 13th Annual IEEE International Symposium and Workshop on Engineering of Computer Based Systems, pp. 9, Mar. 2006.
  6. E. Ahmadi, M. Sabaei, " A New Adaptive Target Tracking Protocol in Wireless Sensor Networks”, International Journal of Computer Applications, volume28, No.10, 2011, pp.5-11.
Index Terms

Computer Science
Information Sciences

Keywords

Target tracking mobility model tracking error energy consumption wireless sensor networks

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