Artificial Bee Colony Optimization Algorithm for Enhancing Routing in Wireless Networks
Open accessAbstract
The throughput of wireless multi-channel networks are enhanced using artificial intelligence algorithm. The performance of the network may be improved while reducing the interference. This technique involves three steps namely creation of wireless environment specific model, performance optimization using the right tools and improvement of routing by selecting the performance indicators cautiously. Artificial bee colony optimization algorithm and its evaluative features positively affects communication in wireless networks. The simple behavior of bee agents in this algorithm assist in making synchronous and decentralized routing decisions. The advantages of this algorithm is evident from the MATLAB simulations. The nature inspired routing algorithm offers improved performance when compared to the existing state-of-the-art models. The simple agent model can improve the performance values of the network. The breadth first search variant is utilized for discovery and deterministic evaluation of multiple-paths in the network increasing the overall routing protocol output.
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DL can be used to analyze traffic patterns and optimize routes for taxi drivers, helping them avoid congestion and take the most efficient route, which can save time and reduce fuel costs.
“DL can be used to analyze traffic patterns and optimize routes for taxi drivers. This can help them avoid congestion and take the most efficient route to their destination, which can save time and reduce fuel costs [129] .”
From Artificial intelligence, machine learning and deep learning in advanced robotics, a review (2023) · cites this paper as [129]
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Artificial intelligence, machine learning and deep learning in advanced robotics, a review
Soori, M., Arezoo, B., & Dastres, R. (2023) · Cognitive Robotics · doi:10.1016/j.cogr.2023.04.001 · Cited by 1,131 · see citing works
- Authors
- Jacob, I. J., & Darney, P. E.
- Affiliations
- GITAM University (IN)
- Professor, Department of EEE, SCAD CET, Tirunelveli, India
- Venue
- Journal of Artificial Intelligence and Capsule Networks
- Publisher
- Inventive Research Organization
- Published
- 2021-03-29
- Volume
- 3
- Issue
- 1
- Pages
- 62-71
- ISSN
- 2582-2012 (ISSN-L)
- OpenAlex
- W3147167903
- Cited by
- 116
- References
- 0
- Citations by year
- 2026: 4 · 2025: 11 · 2024: 12 · 2023: 13 · 2022: 45 · 2021: 31
- FWCI
- 8.51
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Journal of Artificial Intelligence and Capsule Networks (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Metaheuristic Optimization Algorithms Research
- Physical Sciences › Computer Science › Computer Networks and Communications › Mobile Ad Hoc Networks
- Physical Sciences › Computer Science › Computer Networks and Communications › Wireless Networks and Protocols
- Keywords
- artificial bee colony algorithm, wireless network routing, multi-channel wireless networks, throughput improvement, interference suppression, multipath routing, breadth-first search, performance indicators
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