UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 7 Issue 2
February-2020
eISSN: 2349-5162

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Published Paper ID:
JETIR2002537


Registration ID:
543066

Page Number

913-917

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Title

Improved and Comparative Study of Metaheuristics Techniques of Wireless Sensor Network

Abstract

Wireless Sensor Networks (WSNs) and their pivotal role in modern technology. It is basically a wireless network in which sensor nodes are distributed in any environment condition, to collect the data or information such as temperature, pressure, wind, sea level etc [1]. and accordingly data or information will be passed to the main location. Reliable Trust and Reputation of a node stands for the measure of trust over a certain period which can be useful to evaluate the risk of attack from that node. We have combined all these parameters to risk of attack from a particular node. The dynamic nature of WSNs, comprising self-configured and autonomous Sensor Nodes (SNs) that collect specific event data[3]. It highlights the rapid advancements in wireless communication and the emergence of WSNs as a key player in collecting specific event data. WSNs are described as self-configured and autonomous networks of Sensor Nodes (SNs) that operate without fixed infrastructure, enabling dynamic networks and self-organization[4]. The versatility of WSNs in various applications such as habitat monitoring, surveillance, tracking, and smart farming. It underscores the challenges faced by WSNs, particularly in terms of energy-efficiency, node connectivity, localization, scalability, security, and overall network performance. The focus of the work presented the developing energy-efficient routing protocols for WSNs to enhance network longevity and performance. Introduction WSNs are globally-distributed and customized systems to sense and collect atmospheric factors, then transmit this data back to a centralized position. Among other ones, such as heat, sound, particulate matter emissions like dust and smoke, humidity and weather may be detected by WSNs [9].

Key Words

WSN, SNs, Swarn Intelligent, Sensor Network

Cite This Article

"Improved and Comparative Study of Metaheuristics Techniques of Wireless Sensor Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 2, page no.913-917, February-2020, Available :http://www.jetir.org/papers/JETIR2002537.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

"Improved and Comparative Study of Metaheuristics Techniques of Wireless Sensor Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 2, page no. pp913-917, February-2020, Available at : http://www.jetir.org/papers/JETIR2002537.pdf

Publication Details

Published Paper ID: JETIR2002537
Registration ID: 543066
Published In: Volume 7 | Issue 2 | Year February-2020
DOI (Digital Object Identifier):
Page No: 913-917
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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