Clustering, Routing, Scheduling, and Challenges in Bio-Inspired Parameter Tuning of Vehicular Ad Hoc Networks for Environmental Sustainability Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.3390/su15064767
Vehicular ad hoc networks (VANETs) are wireless networks of automotive nodes. Among the strategies used in VANETs to increase network connectivity are broadcast scheduling, data aggregation, and vehicular node clustering. In the context of extremely high node mobility and ambiguous vehicle distribution (on the road), VANETs degrade in flexibility and quick topology, facing significant issues such as network physical layout construction and unstable connections. These challenges make it difficult for vehicle communication to be robust, reliable, and scalable, especially in urban traffic networks. Numerous research investigations have revealed a nearly optimal solution to various VANET difficulties through the application of techniques derived from nature and evolution. On the other hand, as key productivity sectors continue to demand more energy, sustainable and efficient ways of using non-renewable resources continue to be developed. With the help of information and communication technologies (ICT), parameter tuning approaches can reduce accident rates, improve mobility, and mitigate environmental impacts. In this article, we explore evolutionary algorithms to mobile ad hoc networks (MANETs), as well as vehicular ad hoc networks (VANETs). A discussion of three major categories of optimization is provided throughout the paper. There are several significant research works presented regarding parameter tuning in cluster formation, routing, and scheduling of broadcasts. Toward the end of the review, key challenges in VANET and MANET research are identified.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/su15064767
- https://www.mdpi.com/2071-1050/15/6/4767/pdf?version=1678241328
- OA Status
- gold
- Cited By
- 19
- References
- 105
- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4323569365Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/su15064767Digital Object Identifier
- Title
-
Clustering, Routing, Scheduling, and Challenges in Bio-Inspired Parameter Tuning of Vehicular Ad Hoc Networks for Environmental SustainabilityWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-03-08Full publication date if available
- Authors
-
Christy Jackson Joshua, J. Prassanna, Abdul Quadir, Arun Kumar Sivaraman, Kong Fah TeeList of authors in order
- Landing page
-
https://doi.org/10.3390/su15064767Publisher landing page
- PDF URL
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https://www.mdpi.com/2071-1050/15/6/4767/pdf?version=1678241328Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/2071-1050/15/6/4767/pdf?version=1678241328Direct OA link when available
- Concepts
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Computer science, Wireless ad hoc network, Vehicular ad hoc network, Computer network, Cluster analysis, Mobile ad hoc network, Scheduling (production processes), Scalability, Distributed computing, Optimized Link State Routing Protocol, Routing protocol, Wireless, Routing (electronic design automation), Engineering, Network packet, Telecommunications, Artificial intelligence, Database, Operations managementTop concepts (fields/topics) attached by OpenAlex
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-
19Total citation count in OpenAlex
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2025: 4, 2024: 10, 2023: 5Per-year citation counts (last 5 years)
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105Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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