RETRACTED ARTICLE: Adaptive SDN-based network architecture for vehicle to vehicle communication using flexible optical networks for 5G

This study examines how flexible optical networks may be used to combine adaptive software-defined networking (SDN) with vehicle-to-vehicle (V2V) communication in the Fifth Generation (5G) era. Commercial V2V (C-V2V) technology offers great potential to revolutionize current wireless infrastructure,...

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Bibliographic Details
Published in:Optical and quantum electronics Vol. 55; no. 12
Main Authors: Kachhoria, Renu, Jaiswal, Swati, Kharat, Reena S., Pede, Shailaja, Kale, Sunil D., Mahajan, Rupali Atul, Sharma, Pooja, Khadse, Chetan B.
Format: Journal Article
Language:English
Published: New York Springer US 2023
Springer Nature B.V
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Summary:This study examines how flexible optical networks may be used to combine adaptive software-defined networking (SDN) with vehicle-to-vehicle (V2V) communication in the Fifth Generation (5G) era. Commercial V2V (C-V2V) technology offers great potential to revolutionize current wireless infrastructure, possibly eliminating the need for specific short-range interaction mechanisms in the V2V systems as the automobile sector moves closer to full-scale 5G integration. These networks' improved capacity and programmability significantly affect the deployment of V2V functions in future intelligent mobility systems and the design of advanced vehicular network architectures. Each vehicle may connect to a wide range of entities using SDN in a flexible, dependable, and secure way. These entities include people, objects, processes, data, and numerous commodities. These mobile systems' capabilities will be strengthened by 5G technology, expanding the range of services they can provide. This paper explains the most recent findings concerning V2V network observations in the 60-GHz band, provides a thorough analysis of current practices in fiber optic V2V network observations and modeling, and discusses the difficulties that still need to be overcome to advance fiber optic V2V network observations and modeling.
ISSN:0306-8919
1572-817X
DOI:10.1007/s11082-023-05303-9