An Approach Towards Wireless Sensor Network Design Optimization Using PSO

Authors

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

Keywords:

WSN,MANET;PSO

Abstract

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.

References

  1. Prerana Shrivastava et. al.Design of PSO Based Localization Technique for Mobile Sinks in Wireless Sensor NetworksIJETAE 2014
  2. Pavlos Antoniou, Andreas Pitsillides , Tim Blackwell et. al. Congestion control in wireless sensor networks based on bird flocking behavior Elsevier 2012
  3. Amol P. Bhondekar et. al. Genetic Algorithm Based Node Placement Methodology For Wireless Sensor Networks IMECS 2009
  4. K.SyedAliFathima, T.SumithaTo Enhance the Lifetime of WSN Network using PSO ICGICT 2014
  5. M. Madheswaran and R. N. Shanmugasundaram  Enhancements Of Leach Algorithm For Wireless Networks: A Review  ICTACT 2013
  6. Xiangyu Yu, Jiaxin Zhang, Jiaru Fan et.al. A Faster Convergence Artificial Bee Colony Algorithm in Sensor Deployment for Wireless Sensor Networks Hindavi 2013
  7. Amin Rostamiand Mohammad Hossin MottarWIRELESS Sensor Network Clustering Using Particles Swarm Optimization For Reducing Energy Consumption Novemebr 2014

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Published

2017-10-31

Issue

Section

Research Articles

How to Cite

[1]
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.