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Erschienen in: Soft Computing 23/2023

30.09.2023 | Neural Networks

Dynamic auto-configuration over node communication in mobile wireless networks

verfasst von: Mohamed Ahmed Elfaki, Mofadal Alymani, Z. Faizal Khan, Saad Ali Alahmari, Sivaram Rajeyyagari

Erschienen in: Soft Computing | Ausgabe 23/2023

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Abstract

Cognitive radio network (CRNs) has been emerging and innovative technology in transmission of dynamic/automatic between different vehicles. An innovative idea in vehicular communication is the use of ad hoc characteristics to configure auto nodes on the fly, allowing for real-time data transmission via the Internet in vehicular ad hoc networks. To boost network infrastructure and strong data connection between vehicles in wireless vehicle ad hoc networks, several node auto-configuration schemas and node address-related methodologies were applied. In this paper, we propose a Dynamic Node Selection with Opportunistic Routing (DNSOR) a method for reducing the time it takes for information to be forwarded between vehicles in ad hoc networks by taking advantage of the inherent mobility of vehicle relationships. Each vehicle node in an ad hoc network uses a copy of the data from all the other vehicles to calculate the network's density. Extensive simulation findings show that the suggested methodology outperforms the standard mobility-based routing calculation approaches in vehicle ad hoc networks by increasing QoS while decreasing overhead.

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Metadaten
Titel
Dynamic auto-configuration over node communication in mobile wireless networks
verfasst von
Mohamed Ahmed Elfaki
Mofadal Alymani
Z. Faizal Khan
Saad Ali Alahmari
Sivaram Rajeyyagari
Publikationsdatum
30.09.2023
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 23/2023
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-023-09262-x

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