TruClu: Trust Based Clustering Mechanism in Software Defined Vehicular Networks

Garg, Deepanshu; Kaur, Amandeep; Benslimane, Abderrahim; Bali, Rasmeet Singh; Kumar, Neeraj; Tanwar, Sudeep; Rodrigues, Joel J. P. C.; Obaidat, M. S.

doi:10.1109/globecom46510.2021.9685758

Cited by 7 publications

References 19 publications

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6G‐based resource utilization framework in software defined hybrid vehicular networks

Mittal

2022

Int J Communication

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SummaryAdvanced development in technology raises a huge number of data sources that generate real time data for processing. To process such huge and complex real time data, there is a need for high processing units and more computing resources available at the nearest end, which causes high deployment cost and needs distributed data processing units at different locations. To concern this issue, we proposed a 6G‐based Resource Utilization Framework using SDN in the hybrid vehicular network (HVN). The key objective of this framework is to provide the computing vehicles as resources to complete the task efficiently. Three different technologies are combined into vehicular networks such as Vehicular Fog Computing, Vehicular Edge Computing, and Vehicular Cyber Physical System into integrated HVN. A layered architecture is used to define the data flow and control with the support of SDN and also the fast delivery of data by using 6G cellular communication in the proposed HVN. This scheme uses various algorithms to provide resources through the fast communication between vehicles in Hybrid Vehicular network. An extensive simulation is performed on the proposed scheme using the NS3 simulator. The simulation results outperform the performance of the proposed scheme in terms of various key computing parameters.

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