Hybrid Adhoc Routing Protocol Implementation in Mobile Adhoc Network Using Firefly Algorithm

The corporate 5G demos are important in today's rapidly advancing technological environment. In most areas of information and communications, energy conservation is increasingly a need. New wireless network designs are greatly influenced by this demand. Mobile Ad Hoc Networks (MANETs) are the most emerging area of study as a result of this. High-performance, energy-efficient, and fundamentally flexible routing protocols are possible. Routing protocols are therefore the most crucial component of the MANET. Node mobility disruption is one of the main problems with routing in MANETs; end nodes and intermediate nodes in the network move around a lot, causing frequent path breaks. Thus, this study presents using the Firefly algorithm to construct a hybrid ad hoc routing protocol in mobile ad hoc networks. Link-state and distance-vector routing methods are employed in hybrid routing protocols. In data networks, a Distance-Vector Routing Protocol (DVRP) chooses the optimal path for data packets depending on distance. A routing protocol called Link-State Routing Protocol (LSRP) enables routers in a computer network to share routing data. The Firefly algorithm (shows best accuracy 92.7% and specificity 91.4%), which is integrated into hybrid AODV, is utilized in this study to solve the routing path problem and choose the best path based on the most recent data. This initiative offers data transfer pathways that are more effective. In addition, it provides scalability, load balancing, faster convergence, and effective bandwidth utilization and NS2 software is used for executing this work.

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Published
2024-08-08
DOI
https://doi.org/10.1109/iccpct61902.2024.10673233
Primary Topic
Mobile Ad Hoc Networks
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article
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Hybrid Adhoc Routing Protocol Implementation in Mobile Adhoc Network Using Firefly Algorithm

S. Nivas, K. R. Mahesh Kumar, T. Kadhiravan, G. Jeevith et al.
Mobile Ad Hoc Networks
article

Hybrid Adhoc Routing Protocol Implementation in Mobile Adhoc Network Using Firefly Algorithm

S. Nivas, K. R. Mahesh Kumar, T. Kadhiravan, G. Jeevith, S. Harshavardhan
article en

Abstract

The corporate 5G demos are important in today's rapidly advancing technological environment. In most areas of information and communications, energy conservation is increasingly a need. New wireless network designs are greatly influenced by this demand. Mobile Ad Hoc Networks (MANETs) are the most emerging area of study as a result of this. High-performance, energy-efficient, and fundamentally flexible routing protocols are possible. Routing protocols are therefore the most crucial component of the MANET. Node mobility disruption is one of the main problems with routing in MANETs; end nodes and intermediate nodes in the network move around a lot, causing frequent path breaks. Thus, this study presents using the Firefly algorithm to construct a hybrid ad hoc routing protocol in mobile ad hoc networks. Link-state and distance-vector routing methods are employed in hybrid routing protocols. In data networks, a Distance-Vector Routing Protocol (DVRP) chooses the optimal path for data packets depending on distance. A routing protocol called Link-State Routing Protocol (LSRP) enables routers in a computer network to share routing data. The Firefly algorithm (shows best accuracy 92.7% and specificity 91.4%), which is integrated into hybrid AODV, is utilized in this study to solve the routing path problem and choose the best path based on the most recent data. This initiative offers data transfer pathways that are more effective. In addition, it provides scalability, load balancing, faster convergence, and effective bandwidth utilization and NS2 software is used for executing this work.

National Institute of Technology Meghalaya (IN)
Affordable and clean energy
Openalex Percentile: Top 83%
Mobile Ad Hoc Networks
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Hybrid Adhoc Routing Protocol Implementation in Mobile Adhoc Network Using Firefly Algorithm — S. Nivas, K. R. Mahesh Kumar, et al. · (2024) | TGRS Research Map | TGRS