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Performance of Particle Swarm Optimization for Sensor Networks: A Survey

Jagmeet Singh1 , Harpreet Kaur2

Section:Survey Paper, Product Type: Journal Paper
Volume-3 , Issue-3 , Page no. 83-87, Mar-2015

Online published on Mar 31, 2015

Copyright © Jagmeet Singh , Harpreet Kaur . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Jagmeet Singh , Harpreet Kaur, “Performance of Particle Swarm Optimization for Sensor Networks: A Survey,” International Journal of Computer Sciences and Engineering, Vol.3, Issue.3, pp.83-87, 2015.

MLA Style Citation: Jagmeet Singh , Harpreet Kaur "Performance of Particle Swarm Optimization for Sensor Networks: A Survey." International Journal of Computer Sciences and Engineering 3.3 (2015): 83-87.

APA Style Citation: Jagmeet Singh , Harpreet Kaur, (2015). Performance of Particle Swarm Optimization for Sensor Networks: A Survey. International Journal of Computer Sciences and Engineering, 3(3), 83-87.

BibTex Style Citation:
@article{Singh_2015,
author = {Jagmeet Singh , Harpreet Kaur},
title = {Performance of Particle Swarm Optimization for Sensor Networks: A Survey},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2015},
volume = {3},
Issue = {3},
month = {3},
year = {2015},
issn = {2347-2693},
pages = {83-87},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=426},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=426
TI - Performance of Particle Swarm Optimization for Sensor Networks: A Survey
T2 - International Journal of Computer Sciences and Engineering
AU - Jagmeet Singh , Harpreet Kaur
PY - 2015
DA - 2015/03/31
PB - IJCSE, Indore, INDIA
SP - 83-87
IS - 3
VL - 3
SN - 2347-2693
ER -

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Abstract

The Quality of Service provided by any network is affected by some specific factors. An efficient network achieves its goal by solving all the challenges and satisfies the factors. Many researchers develop several approaches, protocols, techniques, algorithms and methods to improve the performance of network. In this paper, we have conducted a survey to understand the problems of sensor network. The Swarm Optimization Algorithm is reviewed to solve these problems. We analyze that the particle swarm optimization is a capable algorithm to optimize each and every NP hard problems and develops an efficient network.

Key-Words / Index Term

Performance, Quality of Service, Swarm Optimization Algorithm, Wireless Sensor Network

References

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