An Approach Towards Wireless Sensor Network Design Optimization Using PSO

Authors(2) :-Aditi Bajpai, Yukti Kesharwani

Wireless sensor Network Design is the important issue of improving transportation networks by selecting the optimal projection among a set of alternatives. Particle Swarm Optimization (PSO) is a meta-heuristic optimization approach which has been widely applied to various problems. PSO technique that was developed by Kennedy and Eberhart is originated from the behavior of birds ’flocks in which individuals convey information between themselves and the leader in order to seek the best direction to food. In this project we will use PSO for Transportation Network Design problem and we will compare PSO with genetic algorithm.

Authors and Affiliations

Aditi Bajpai
Dr. C. V. Raman University, Bilaspur, Chhattisgarh, India
Yukti Kesharwani
Dr. C. V. Raman University, Bilaspur, Chhattisgarh, India


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Publication Details

Published in : Volume 3 | Issue 6 | September-October 2017
Date of Publication : 2017-10-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 516-522
Manuscript Number : IJSRSET1736131
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Aditi Bajpai, Yukti Kesharwani, " An Approach Towards Wireless Sensor Network Design Optimization Using PSO, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 6, pp.516-522, September-October-2017.
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