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     Research Journal of Applied Sciences, Engineering and Technology


Ant Based Compression and Sleep Scheduling Technique for Target Tracking In WSN

1, 2P.S. Velumani and 3S. Murugappan
1Department of MCA, Model Institute of Engineering and Technology, Jammu and Kashmir, India
2M.G.R. Educational and Research Institute University
3Department of Computer Science and Engineering, Annamalai University, Chennai, Tamilnadu, India
Research Journal of Applied Sciences, Engineering and Technology  2014  7:892-899
http://dx.doi.org/10.19026/rjaset.8.1050  |  © The Author(s) 2014
Received: ‎June ‎20, ‎2014  |  Accepted: July ‎13, ‎2014  |  Published: August 20, 2014

Abstract

The main challenges involved in target tracking applications of Wireless Sensor Networks (WSN) are energy consumption, accuracy and security. In order to reduce the amount of energy consumed in target tracking, in this study, Ant based compression and Sleep Scheduling technique is proposed. In this approach initially the information of the nodes are localized and tracked through ACO technique. After the localization process, the data which has to be transmitted to the destination node is compressed in order to make the network more efficient. A Sensor Node Activation Mechanism is developed, where the sensor nodes are turned into sleep mode for a specific time interval. Simulation results show that the proposed technique considerably reduces the network energy consumption.

Keywords:

ACO , data compression , sensor node mechanism , WSN,


References

  1. Akyildiz, I.F., W. Su, Y. Sankarasubramaniam and E. Cayirci, 2002. Wireless sensor networks: A survey. Comput. Netw., 38(4): 393-422.
    CrossRef    
  2. Amundson, I and X.D. Koutsoukos, 2009. A survey on localization for mobile wireless sensor networks. In: Fuller, R. and X.D. Koutsoukos (Eds.), 2nd International Workshop on Mobile Entity Localization and Tracking in GPS-less Environnments. Springer, Berlin, Heidelberg, 5801: 235-254.
    CrossRef    
  3. Dai, S., C. Tang, S. Qiao, Y. Wang, H. Li and C. Li, 2009. An energy-efficient tracking algorithm based on gene expression programming in wireless sensor networks. Proceeding of the 1st International Conference on Information Science and Engineering (ICISE, 2009), pp: 774-777.
    CrossRef    
  4. Kucuk, K., A. Kavak, H. Yigit and C. Ozdemir, 2008. A novel localization technique for wireless sensor networks using adaptive antenna arrays. Proceeding of the Radio and Wireless Symposium, pp: 483-486.
    CrossRef    
  5. Lewis, F.L., 2004. Smart Environments: Technologies, Protocols and Applications. Wiley, New York.
  6. Li, J. and Q. Ren, 2011. Compressing information of target tracking in wireless sensor networks. Lect. Notes Comput. Sc., 3(2): 73-81.
    CrossRef    
  7. Mao, G., B. Fidan and B. Anderson, 2007. Wireless sensor network localization techniques. Comput. Netw., 51(10): 2529-2553.
    CrossRef    
  8. Megerian, S. and M. Potkonjak, 2002. Wireless Sensor Networks. Encyclopedia of Telecommunications, Wiley Publishers, pp: 1-13.
  9. Samarah, S., M. Al-Hajri and A. Boukerche, 2011. A predictive energy-efficient technique to support object-tracking sensor networks. IEEE T. Veh. Technol., 60(2).
  10. Soe, K.T., 2008. Increasing lifetime of target tracking wireless sensor networks. Proceeding of the World Academy of Science, Engineering and Technology. Vol. 32.
  11. Srinivasan, A. and J. Wu, 2007. A survey on secure localization in wireless sensor networks. In: Furht, B. (Ed.), Encyclopedia of Wireless and Mobile Communications, CRC Press, Taylor and Francis Group.
  12. Stankovic, J.A., 2006. Wireless Sensor Networks. Department of Computer Science, University of Virginia Charlottesville, Virginia.
  13. Velumani, P.S. and S. Murugappan, 2012. Ant based target tracking and localization technique for wireless sensor networks. Eur. J. Sci. Res., 70(4): 554-568.
  14. Velumani, P.S. and S. Murugappan, 2013. Secure authentication technique for localization in wireless sensor networks. Int. Rev. Comput. Softw., 8(9): 2239.

Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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