<scp>FPGA</scp> Integrated Distributed Homogenous Clustered <scp>AODV</scp> Routing Analysis for Mobile Ad Hoc Networks

ABSTRACT The research letter focuses on the hardware chip design of the Distributed Homogenous Clustered Ad hoc On‐Demand Distance Vector (DHMC‐AODV) routing protocol for MANETs. Distributed clustering has been used for the homogenous clustered routing formation that reduces the complex computational processing time and supports parallel computing in a multilevel clustering environment. The novelty of the work is that the hardware routing chip is verified in an FPGA‐integrated environment with a scalable network design. The routed chip performance is determined based on parallel processing‐enabled FPGA hardware indices such as IoBs, slices, and LUTs for the network configuration ( N = 64). The performance improvement of the proposed protocol is claimed on ZedBoard FPGA, compared with the existing protocols in terms of power, E2ED, and overhead is 9.2%, 5.1% to 10.2%, 11.5% to 12.4%, and 14.3% to 16.1% respectively. The PDR is approximately 1.0 for all the protocols when the network is fully accessible.

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Publication Details

Journal
Internet Technology Letters
Published
2025-03-01
DOI
https://doi.org/10.1002/itl2.70002
Citations
1
Primary Topic
Mobile Ad Hoc Networks
Type
article
Field-Weighted Citation Impact
1.49
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article

FPGA Integrated Distributed Homogenous Clustered AODV Routing Analysis for Mobile Ad Hoc Networks

Adesh Kumar, Anurag Vijay Agrawal, Piyush Kuchhal, Arvind Kumar
1 citations
Internet Technology Letters
Mobile Ad Hoc Networks
1.49
article

FPGA Integrated Distributed Homogenous Clustered AODV Routing Analysis for Mobile Ad Hoc Networks

Adesh Kumar, Anurag Vijay Agrawal, Piyush Kuchhal, Arvind Kumar
article en
1 citations

Abstract

ABSTRACT The research letter focuses on the hardware chip design of the Distributed Homogenous Clustered Ad hoc On‐Demand Distance Vector (DHMC‐AODV) routing protocol for MANETs. Distributed clustering has been used for the homogenous clustered routing formation that reduces the complex computational processing time and supports parallel computing in a multilevel clustering environment. The novelty of the work is that the hardware routing chip is verified in an FPGA‐integrated environment with a scalable network design. The routed chip performance is determined based on parallel processing‐enabled FPGA hardware indices such as IoBs, slices, and LUTs for the network configuration ( N = 64). The performance improvement of the proposed protocol is claimed on ZedBoard FPGA, compared with the existing protocols in terms of power, E2ED, and overhead is 9.2%, 5.1% to 10.2%, 11.5% to 12.4%, and 14.3% to 16.1% respectively. The PDR is approximately 1.0 for all the protocols when the network is fully accessible.

Internet Technology LettersVol. 8(2)
Bhagwant University (IN), University of Petroleum and Energy Studies (IN)
Openalex Percentile: Top 19%
Mobile Ad Hoc Networks
1.49
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