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Localization based Ms-Mac Protocol to Enhance the Energy Efficiency in Sensor Networks

by Jothi Kanna D., Sophia Reena G.
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 161 - Number 1
Year of Publication: 2017
Authors: Jothi Kanna D., Sophia Reena G.
10.5120/ijca2017912371

Jothi Kanna D., Sophia Reena G. . Localization based Ms-Mac Protocol to Enhance the Energy Efficiency in Sensor Networks. International Journal of Computer Applications. 161, 1 ( Mar 2017), 8-12. DOI=10.5120/ijca2017912371

@article{ 10.5120/ijca2017912371,
author = { Jothi Kanna D., Sophia Reena G. },
title = { Localization based Ms-Mac Protocol to Enhance the Energy Efficiency in Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2017 },
volume = { 161 },
number = { 1 },
month = { Mar },
year = { 2017 },
issn = { 0975-8887 },
pages = { 8-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume161/number1/27111-2017912371/ },
doi = { 10.5120/ijca2017912371 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:06:33.590682+05:30
%A Jothi Kanna D.
%A Sophia Reena G.
%T Localization based Ms-Mac Protocol to Enhance the Energy Efficiency in Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 161
%N 1
%P 8-12
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Wireless sensor networks (WSNs) are one of the most interesting research areas and have become very popular technology. Each and every node in the wireless sensor networks can be stationary or mobility depending on the application requirement. Optimizing energy in mobile sensor network is a current challenge in recent research. It mainly focuses to minimize the energy consumption, to reduce the delay and to improve the throughput while the sensor nodes are in movement. This paper proposes a new adaptive Localization Mobility-aware MAC protocol for Sensor networks (LMS-MAC) based on localization algorithm. The adaptation algorithms are used to localize mobile nodes and predict the quality of link it established at the link layer and reduces some level of energy consumption while the sensor nodes are in movement.

References
  1. Pratik S. patel, Jignesh R.patel, “Localization Algorithm for Mobile Sensor Nodes Using 3D Space in Wireless Sensor Network” , International Journal on Recent and Innovation Trends in Computing and Communication, Volume: 2, Issue: 1, pp. (58 – 62 ) January 2014 . ISSN: 2321-8169
  2. Tao Huang, Zhikui Chen, Feng Xia, Cheng Jin, Liang Li, “A Practical Localization Algorithm Based on Wireless Sensor Networks”.
  3. Priti Narwal1, Dr. S.S. Tyagi , “Position estimation using localization technique in wireless sensor networks” , International Journal of Application or Innovation in Engineering & Management (IJAIEM), Volume 2, Issue 6, June 2013. ISSN 2319 – 4847
  4. Shweta Singh, Ravi Shakya, Yaduvir Singh, “Localization Techniques in Wireless SensorNetworks”, International Journal of Computer Science and Information Technologies, Vol. 6 (1), 2015, pp (844-850). ISSN: 0975-9646
  5. JerilKuriakose, Sandeep Joshi , V.I. George, “Localization in Wireless Sensor Networks: A Survey” , CSIR Sponsored X Control Instrumentation System Conference - CISCON-2013.
  6. P.K Singh, Bharat Tripathi, Narendra Pal Singh, “Node localization in wireless sensor networks” , International Journal of Computer Science and Information Technologies, Vol. 2 (6), 2011,PP.( 2568-2572). ISSN: 0975-9646
  7. Aditi Shrivastava, Priya Bharti, “Localization Techniques for Wireless Sensor Networks”,
  8. International Journal of Computer Applications, PP. (0975 – 8887) Volume 116 – No. 12, April 2015.
  9. Anouar Abdelhakim Boudhir, Bouhorma Mohamed, Ben Ahmed Mohamed, “New Technique of Wireless Sensor Networks Localization based on Energy Consumption”, International Journal of Computer Applications, PP(0975 – 8887), Volume 9– No.12, November 2010.
  10. Pratik Biswas, Tzu-Chen Liang, Kim-Chuan Toh, Ta-Chung Wang and Yinyu Ye, “Semidefinite Programming Approaches for Sensor Network Localization with Noisy Distance Measurements”.
  11. S. Gezici, Z. Tian, G. B. Giannakis, H. Kobayashi, A. F. Molisch, H. V. Poor, and Z. Sahinoglu, “Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks”, IEEE Signal Processing Magazine, vol. 22, no. 4, pp. 70{84, Jul. 2005.
  12. R. Huang and G. V. Zaruba, “Beacon deployment for sensor network localization”, inIEEE Wireless Communications and Networking Conference, Mar. 2007, pp. 3188{3193.
  13. N. Bulusu, J. Heidemann, and D. Estrin, “GPS-less low-cost outdoor localization forvery small devices," IEEE Personal Communications, vol. 7, no. 5, pp. 28{34, Oct.2000.
  14. H. Wymeersch, J. Lien, and M. Z. Win, “Cooperative localization in wireless networks,"Proc. IEEE, vol. 97, no. 2, pp. 427{450, Feb. 2009.
  15. X. Wang, Z.Wang, and B. O'Dea, “A TOA-based location algorithm reducing the errors due to non-line-of-sight (NLOS) propagation," IEEE Transactions on Vehicular Technology, vol. 52, no. 1, pp. 112{116, Jan. 2003.
  16. K. C. Ho and M. Sun, “Passive source localization using time differences of arrival and gain ratios of arrival," IEEE Transactions on Signal Processing, vol. 56, no. 2, pp. 464{477, Feb. 2008.
Index Terms

Computer Science
Information Sciences

Keywords

Wireless sensor network MS-MAC protocol LMS-MAC localization techniques.

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