UGC Approved Journal no 63975(19)

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Published in:

Volume 2 Issue 5
May-2015
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1701B09


Registration ID:
533684

Page Number

55-59

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Title

Using Genetic Algorithms to MAC Clustering in Wireless Sensor Networks through Local Search Binary Particle Swarm Optimization (LSBPSO)

Abstract

This research explores the application of a B-MAC cluster protocol incorporating a cross-genetic algorithm (GA) and PSO methods to address the challenge of clustering in Wireless Sensor Networks (WSNs). WSNs consist of numerous small nodes with limited capabilities, and the primary concern is energy constraints. Clustering is identified as a resource-efficient solution to this issue, involving the division of networks into groups with each having a cluster head. Cluster heads are responsible for gathering and transferring data to base stations. The study, employing simulations with OPNET, focuses on evaluating the proposed protocol's performance in terms of packet delivery rate, end-to-end delay, hop number, and jitter. Experimental testing was conducted under varying node mobility levels, revealing that the LSBPSO MAC Cluster Clustering outperformed both BMAC (with flooding) and BMAC (with cluster-based routing) in static and dynamic scenarios. Considering various MAC protocols, it can be inferred that LSBPSO's BMAC holds promise for applications requiring agility in WSNs, such as military reconnaissance maneuvers, tragedy management, safety, healthcare, industrial automation, and more.

Key Words

MEMS,Flooding,Cluster-Head(CH),Genetic Algorithm (GA), Medium Access Control (MAC), Particle Swarm Optimization (PSO), Wireless Sensor Network(WSN), wireless sensor and actuator networks (WSAN).

Cite This Article

"Using Genetic Algorithms to MAC Clustering in Wireless Sensor Networks through Local Search Binary Particle Swarm Optimization (LSBPSO)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 5, page no.55-59, May-2015, Available :http://www.jetir.org/papers/JETIR1701B09.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Using Genetic Algorithms to MAC Clustering in Wireless Sensor Networks through Local Search Binary Particle Swarm Optimization (LSBPSO)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 5, page no. pp55-59, May-2015, Available at : http://www.jetir.org/papers/JETIR1701B09.pdf

Publication Details

Published Paper ID: JETIR1701B09
Registration ID: 533684
Published In: Volume 2 | Issue 5 | Year May-2015
DOI (Digital Object Identifier):
Page No: 55-59
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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