International Journal of Computer Networks and Applications (IJCNA)

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International Journal of Computer Networks and Applications (IJCNA)

International Journal of Computer Networks and Applications (IJCNA)

Published By EverScience Publications

ISSN : 2395-0455

Deft Particle Swarm Optimization-Based Routing Protocol (DPSORP) for Energy Consumption Minimization in Mobile Ad-Hoc Network

Author NameAuthor Details

S. Preema, M. Thilagu

S. Preema[1]

M. Thilagu[2]

[1]Department of Computer Science, Avinashilingam Institute for Home Science & Higher Education for Women, Coimbatore, Tamil Nadu, India

[2]Department of Computer Science, Avinashilingam Institute for Home Science & Higher Education for Women, Coimbatore, Tamil Nadu, India

Cite this Article

DOI: 10.22247/ijcna/2022/215922

Pages : 641-652

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Abstract

Rapid technological development in the wireless communication sector has improved mobile ad hoc networks (MANETs) to serve a variety of domains, such as military activities, emergency operations, civilian settings, and disaster management. Self-organizing mobile nodes in MANET work together to create a dynamic network architecture to make connections. Before reaching its destination node in a MANET, data must pass through several intermediate nodes. For the creation and maintenance of routes, local link connection is crucial. This paper proposes the Deft Particle Swarm Optimization-based Routing Protocol (DPSORP) to reduce delay, which minimizes energy consumption. DPSORP gives precedence for local and global optimal routes. Before using a route for data transmission, DPSORP assesses its quality using two distinct kinds of rules. DPSORP uses a multi-path for data transmission rather than relying on a single path. Using the NS3 simulator and common network performance metrics and parameters, DPSORP is evaluated. The findings demonstrate unequivocally that the proposed routing protocol, DPSORP, outperforms existing routing protocols in terms of reducing delay and energy consumption.

Index Terms

MANET

Routing

PSO

Optimization

Energy

Swarming

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