UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIRCW06073


Registration ID:
216616

Page Number

369-376

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Title

NATURE-INSPIRED OPTIMIZATION TECHNIQUES IN WIRELESS BODY AREA NETWORKS: A REVIEW

Abstract

Wireless Body Area Network (WBAN) is a medical evolutionary application of Wireless Sensor Network (WSN) with distinct challenges in terms of energy efficiency, dynamic network topology, heterogeneous data generation rate and size and low power consumption. It is imperative for WBANs to have a longer network lifetime and greater stability period in order to avoid constant recharging and replacement of nodes attached to a patient. This can be achieved by reducing the energy consumption of the nodes. The literature survey indicates that the optimization techniques play an important role in achieving minimum energy consumption. This paper presents an introduction of WBANs and the various optimization techniques viz. Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Fire Fly Optimization (FFO), Binary Particle Swarm Optimization (BPSO) used for optimizing the performance of the network. The optimization techniques are discussed in context with WBAN indicating their usability or inappropriateness for WBAN applications. A comparative analysis of various techniques is also present.

Key Words

Wireless Body Area Networks, Wireless Sensor Networks, Optimization Techniques.

Cite This Article

"NATURE-INSPIRED OPTIMIZATION TECHNIQUES IN WIRELESS BODY AREA NETWORKS: A REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.369-376, May 2019, Available :http://www.jetir.org/papers/JETIRCW06073.pdf

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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

"NATURE-INSPIRED OPTIMIZATION TECHNIQUES IN WIRELESS BODY AREA NETWORKS: A REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp369-376, May 2019, Available at : http://www.jetir.org/papers/JETIRCW06073.pdf

Publication Details

Published Paper ID: JETIRCW06073
Registration ID: 216616
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 369-376
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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