Open AccessArticle
Blending Bio Inspired Algorithm and Cross Layering for Optimal Route in MANETS; 6G Scenario
1 University of Agricultural Sciences Mandya, Department of Computer Science, Mandya, 571405, India
2 VTU, Department of Information Science and Engineering, Belgaum, 590001, India
*whom correspondence should be addressed. E-mail: inamdars09@gmail.com
Received: 20 June 2025, Revised: 4 September 2025, Accepted: 6 September 2025, Published Online: 13 September 2025
(This article belongs to the Section Interdisciplinary Applications – Computer Science (IAC))
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APA Style
Inamdar, S. R. and Kallibaddi, J. I. (2025). Blending Bio Inspired Algorithm and Cross Layering for Optimal Route in MANETS; 6G Scenario. Journal of Engineering Research and Sciences, 4(9), 22–29. https://doi.org/10.55708/js0409003
Inamdar, S. R. and Kallibaddi, J. I. (2025). Blending Bio Inspired Algorithm and Cross Layering for Optimal Route in MANETS; 6G Scenario. Journal of Engineering Research and Sciences, 4(9), 22–29. https://doi.org/10.55708/js0409003
Chicago/Turabian Style
Sadanand Ramchandrarao Inamdar and Jayashree Irappa Kallibaddi. "Blending Bio Inspired Algorithm and Cross Layering for Optimal Route in MANETS; 6G Scenario." Journal of Engineering Research and Sciences 4, no. 9 (September 2025): 22–29. https://doi.org/10.55708/js0409003
Sadanand Ramchandrarao Inamdar and Jayashree Irappa Kallibaddi. "Blending Bio Inspired Algorithm and Cross Layering for Optimal Route in MANETS; 6G Scenario." Journal of Engineering Research and Sciences 4, no. 9 (September 2025): 22–29. https://doi.org/10.55708/js0409003
IEEE Style
S.R. Inamdar and J.I. Kallibaddi, "Blending Bio Inspired Algorithm and Cross Layering for Optimal Route in MANETS; 6G Scenario," Journal of Engineering Research and Sciences, vol. 4, no. 9, pp. 22–29, Sep. 2025, doi: 10.55708/js0409003.
S.R. Inamdar and J.I. Kallibaddi, "Blending Bio Inspired Algorithm and Cross Layering for Optimal Route in MANETS; 6G Scenario," Journal of Engineering Research and Sciences, vol. 4, no. 9, pp. 22–29, Sep. 2025, doi: 10.55708/js0409003.
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Abstract
In order to find the best path in 6G scenario, this paper suggests a directional routing approach for Mobile Ad hoc NETworks (MANETs) that investigates clubbing of updated Tunicate Swarm Algorithm (TSA), an updated intensification technique inspired by biology and Cross Layer Interaction (CLI). To address its previous shortcoming of trapping into local optima, updated TSA, which replicates the jet impulse and swarm actions of tunicates, has been modified. Through the use of CLI, the network density parameter is transferred between layers. In the the medium access protocol of directional antenna enabled MANETs, it is suggested that the directional monitoring time, optional handshake, and data fragment length be changed to lessen load on the routing protocol. Simulation results demonstrate that, when compared to competing proposals, Bio inspired algorithm and Cross layering blending-based routing approaches in MANETs yield better results.
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