International Journal of Computational Intelligence Systems

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Volume 10, Issue 1, 2017, Pages 1263 - 1271

Hybrid Firefly Variants Algorithm for Localization Optimization in WSN

Authors
P. SrideviPonmalarsridevi_ponmalar@yahoo.co.in
Faculty of Information and Communication, College of Engineering Guindy, Chennai, India
V. Jawahar Senthil Kumarveerajawahar@gmail.com
Department of Electronics and Communication Engineering, College of Engineering Guindy, Chennai, India
R. Harikrishnanrhareish@gmail.com
School of Electrical and Electronics Engineering, Sathyabama University, Chennai, India
Received 1 March 2017, Accepted 8 July 2017, Available Online 24 July 2017.
DOI
10.2991/ijcis.10.1.85How to use a DOI?
Keywords
Localization; Genetic Algorithm; Differential Evolution; Particle Swarm Optimization; Firefly; WSN
Abstract

Localization is one of the key issues in wireless sensor networks. Several algorithms and techniques have been introduced for localization. Localization is a procedural technique of estimating the sensor node location. In this paper, a novel three hybrid algorithms based on firefly is proposed for localization problem. Hybrid Genetic Algorithm-Firefly Localization Algorithm (GA-FFLA), Hybrid Differential Evolution-Firefly Localization Algorithm (DE-FFLA) and Hybrid Particle Swarm Optimization -Firefly Localization Algorithm (PSO-FFLA) are analyzed, designed and implemented to optimize the localization error. The localization algorithms are compared based on accuracy of estimation of location, time complexity and iterations required to achieve the accuracy. All the algorithms have hundred percent estimation accuracy but with variations in the number of fireflies’ requirements, variation in time complexity and number of iteration requirements.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
10 - 1
Pages
1263 - 1271
Publication Date
2017/07/24
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.10.1.85How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - P. SrideviPonmalar
AU  - V. Jawahar Senthil Kumar
AU  - R. Harikrishnan
PY  - 2017
DA  - 2017/07/24
TI  - Hybrid Firefly Variants Algorithm for Localization Optimization in WSN
JO  - International Journal of Computational Intelligence Systems
SP  - 1263
EP  - 1271
VL  - 10
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.10.1.85
DO  - 10.2991/ijcis.10.1.85
ID  - SrideviPonmalar2017
ER  -