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Modelling of Artificial Intelligence based Localization Algorithm for Wireless Sensor Networks

Published on July 2014 by Pramod Kumar K., Manjunath R. Kounte
International Conference on Information and Communication Technologies
Foundation of Computer Science USA
ICICT - Number 7
July 2014
Authors: Pramod Kumar K., Manjunath R. Kounte
d396a4a7-053c-4b4f-ab68-af471082727e

Pramod Kumar K., Manjunath R. Kounte . Modelling of Artificial Intelligence based Localization Algorithm for Wireless Sensor Networks. International Conference on Information and Communication Technologies. ICICT, 7 (July 2014), 28-31.

@article{
author = { Pramod Kumar K., Manjunath R. Kounte },
title = { Modelling of Artificial Intelligence based Localization Algorithm for Wireless Sensor Networks },
journal = { International Conference on Information and Communication Technologies },
issue_date = { July 2014 },
volume = { ICICT },
number = { 7 },
month = { July },
year = { 2014 },
issn = 0975-8887,
pages = { 28-31 },
numpages = 4,
url = { /proceedings/icict/number7/18017-1478/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Information and Communication Technologies
%A Pramod Kumar K.
%A Manjunath R. Kounte
%T Modelling of Artificial Intelligence based Localization Algorithm for Wireless Sensor Networks
%J International Conference on Information and Communication Technologies
%@ 0975-8887
%V ICICT
%N 7
%P 28-31
%D 2014
%I International Journal of Computer Applications
Abstract

Wireless sensor networks (WSN) are deployed where human reach is difficult of even impossible WSN are responsible for measuring data in the environment in which they are deployed. So it is meaningless if the location data is unavailable. Many localization algorithms are proposed to increase accuracy and sensor lifetime, decrease processing time and cost requirements. In this paper a survey and has been done on node localization algorithm which involves usage of both neural network and non-neural network approaches and modelling node localization in 2D using a Fuzzy-based Localization Algorithm.

References
  1. J. Wang, Z. Cheng, L. Jing, and T. Yoshida, "Design of a 3D localization method for searching survivors after an earthquake based on WSN," The 3rd International Conference on Awareness Science and Technology (iCAST), vol. 27, no. 30,pp. 221-226, 2011
  2. A. Pal, "Localization algorithms in wireless sensor networks: current approaches and future challenges," Network Protocols and Algorithms, vol. 2, no. 1, pp. 45-74, 2010
  3. M. Abdelhadi, M. Anan, and M. Ayyash, "Efficient Artificial Intelligent-based Localization Algorithm for Wireless Sensor Networks", Cyber Journals: Multidisciplinary Journals in Science and Technology, Volume 3, pp. 10-18, 5 May Edition, 2013
  4. N. Bulusu, J. Heidemann, and D. Estrin, "GPS-less low cost outdoor localization for very small devices," IEEE Personal Communication Magazine, vol. 7, no. 5, pp. 28-34, 2000
  5. Rui Huang and Gergely V. Za´ruba, "Monte Carlo localization of wireless sensor networks with a single mobile beacon", Springer Science and Business Media, LLC 2008.
  6. Mohammad Abdul Azim, Zeyar Aung, Weidong Xiao, Vinod Khadkikar and Abbas Jamalipour, "Localization in Wireless Sensor Networks by Simultaneous Perturbation Stochastic Approximation Technique"
  7. Duc A. Tran, Member and Thinh Nguyen, "Localization in Wireless Sensor Networks based on Support Vector Machines", National Science Foundation under Grant No. CNS-0615055
  8. Lisheng XU, Ke Wang, Yuqi Jiang, Fei Yang, Yuhang Du and Qingchao Li, "A Study on 2D and 3D Weighted Centroid Localization Algorithm in Wireless Sensor Networks", 3rd International Conference on Advanced Computer Control (ICACC 2011), pp. 155-159, 2011
  9. S. Chia-Yen and P. J. Marron, "COLA: Complexity-Reduced Trilateration Approach for 3D Localization in Wireless Sensor Networks", The 4th International Conference on Sensor Technologies and Applications (SENSORCOMM), pp. 24-32, 2010
  10. Prince Singh and Sunil Agrawal, "TDOA Based Node Localization in WSN using Neural Networks", IEEE International Conference on Communication Systems and Network Technologies', pp. 400-404, 2013
  11. Petre Lameski, Andrea Kulakov, Danco Davcev, Learning and position estimation of a mobile robot in an indoor environment using FuzzyART neural network", IEEE/ASME International Conference on Advanced Intelligent Mechatronics", pp. 770-774, 14-17 July,2009
  12. Amitava Chatterjee, "A Fletcher–Reeves Conjugate Gradient Neural-Network-Based Localization Algorithm for Wireless Sensor Networks", IEEE Transactions on Vehicular Technology"'vol. 59, No. 2, Febraurary 2010
  13. Maneesha V. Ramesh, Divya P. L. , Rekha P. and Raghavendra V. Kulkarni, "Performance Enhancement in Distributed Sensor Localization using Swarm Intelligence", IEEE International Conference on Advances in Mobile Network, Communication and Its Applications, pp. 103-106, 2012
Index Terms

Computer Science
Information Sciences

Keywords

Wireless Sensor Networks (wsns) Artificial Intelligence