International Journal of Computer Networks and Applications (IJCNA)

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ISSN : 2395-0455

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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

Optimizing Ad-Hoc Routing Protocols in WSN to Enhance QoS Parameters Using Evolutionary Computation Algorithms

Author NameAuthor Details

Rahul Nawkhare, Daljeet Singh

Rahul Nawkhare[1]

Daljeet Singh[2]

[1]School Of Electronics and Electrical Engineering, Lovely Professional University, Phagwara, Punjab, India.

[2]Faculty of Medicine, Research Unit of Health Sciences and Technology, University of Oulu, Finland.

Cite this Article

DOI: 10.22247/ijcna/2024/224448

Pages : 232-247

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Abstract

Wireless Sensor Networks (WSNs) have garnered considerable attention within the research community focused on fraternity due to their extensive utilization in healthcare, environmental surveillance, disaster avoidance, farming methods, wildfire detection, and other practical applications. Enormous applications have been developed in the Internet of Things (IoT) era resulting in an ever-increasing number of connected WSN devices. As a result, WSNs consistently face challenges in delivering the required quality of service (QoS) affecting the average end-to-end delay, energy utilization, and packet loss throughout the transmission process. An efficient routing protocol must be designed to address these constraints and improve the operational efficiency of WSNs regarding Quality of Service (QoS) metrics. Motivated by these challenges, this paper presents an advanced routing algorithm by integrating optimization in the AODV routing protocol for ad hoc networks employing Particle Swarm Optimization (PSO). The proposed multipath protocol is termed the EPSO-AODV algorithm. The proposed algorithm is assessed through numerous simulations carried out with varied system setups and parameters. Additionally, the efficiency of the proposed protocol is assessed in comparison to conventional routing protocols including AODV, Dynamic Source Routing (DSR), Destination-Sequenced Distance Vector (DSDV), and Optimized Link State Routing (OLSR) protocols. It is observed from the experimental findings that the proposed approach outperforms existing algorithms and offers several benefits including better energy efficiency, ensuring high packet delivery ratio, throughput, and minimal end-to-end delay delay, reduced normalization load. The proposed protocol efficiently distributes energy usage to enhance throughput and enhance the performance of wireless sensor networks. As per the simulation results, the packet delivery ratio has improved from 81.58% to 91.60% whereas the throughput is observed to be 36.32 kbps for conventional AODV and 74.21 kbps for the proposed algorithm. The routing overhead is lowered by approximately 40% and the AE2E delay was found to be 0.04 lower in comparison to AODV. The residual energy in the context of the EPSO-AODV proposal is less (4981 Joules) than AODV (6344 Joules) which proves the superior efficiency of the proposed algorithm.

Index Terms

Ad Hoc On-Demand Distance Vector Routing

Particle Swarm Optimization

Machine Learning

Network Lifespan

Energy Balancing

Localization

Clustering

Routing Overhead

Throughput

End-to-End Delay

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