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Evaluation and Improvement of Pegasis Using Ant Colony Optimization

Sakshi Verma1 , Abhilasha 2

Section:Research Paper, Product Type: Journal Paper
Volume-3 , Issue-5 , Page no. 276-282, May-2015

Online published on May 30, 2015

Copyright © Sakshi Verma , Abhilasha . 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: Sakshi Verma , Abhilasha, “Evaluation and Improvement of Pegasis Using Ant Colony Optimization,” International Journal of Computer Sciences and Engineering, Vol.3, Issue.5, pp.276-282, 2015.

MLA Style Citation: Sakshi Verma , Abhilasha "Evaluation and Improvement of Pegasis Using Ant Colony Optimization." International Journal of Computer Sciences and Engineering 3.5 (2015): 276-282.

APA Style Citation: Sakshi Verma , Abhilasha, (2015). Evaluation and Improvement of Pegasis Using Ant Colony Optimization. International Journal of Computer Sciences and Engineering, 3(5), 276-282.

BibTex Style Citation:
@article{Verma_2015,
author = {Sakshi Verma , Abhilasha},
title = {Evaluation and Improvement of Pegasis Using Ant Colony Optimization},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2015},
volume = {3},
Issue = {5},
month = {5},
year = {2015},
issn = {2347-2693},
pages = {276-282},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=518},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=518
TI - Evaluation and Improvement of Pegasis Using Ant Colony Optimization
T2 - International Journal of Computer Sciences and Engineering
AU - Sakshi Verma , Abhilasha
PY - 2015
DA - 2015/05/30
PB - IJCSE, Indore, INDIA
SP - 276-282
IS - 5
VL - 3
SN - 2347-2693
ER -

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Abstract

In the last few years many research work have been conducted by the researchers in the field of routing protocols in wireless sensor networks. Nowadays their main area of concern is based on routing protocols utilizing the concept of Swarm Intelligence. This dissertation deals with reducing the usage of energy in wireless sensor networks by ants traversing different paths. Ant colony algorithm is generally an optimization technique which is used to optimize the performance of ants by providing them easy way to find the shortest path as we can say nodes in real environment. The main attention of this research work is to understand the working of ant colony algorithm by using Stigmery operation in such a way that it increases the efficiency of the Pegasis protocol. The proposed work has been simulated based on the simulator MATLAB in which simulation will be performed and various parameters are used in regard of wireless sensor networks.

Key-Words / Index Term

Sensor Network, Swarm intelligence, LEACH, PEGASIS, ACO, Stigmery, Greedy Algorithm

References

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