Research Area:  Software Defined Networks
Subclass of MANETs is the VANETs (Vehicular Adhoc Networks) which leads to the provision of remote communication among vehicles and the roadside equipment. A lot of researches are going on VANETs in the recent years. Both the commercial and industry consists of VANETS applications. Deployment of VANET architecture will lead to the provision of several services but due to less scalability, flexibility and poor conductivity several challenges have been faced in both the deployment and management of VANET architecture. Introduction to the new emerging technologies such as fog computing, 5G services and software-defined networking have solved several issues faced in VANETs thereby enhancing its capabilities. In VANETs there is a frequent change in the topology as well as the communication channels are unstable due to the rapid movement of vehicular nodes. Hence, efficiency is one of the major requirements. Motivated by the several challenges described above we proposed an energy-saving routing algorithm which uses various technologies such as Software-defined networking, 5G services and fog computing. The proposed algorithm saves the amount of energy consumed as well as satisfy the all the network traffic demand. Security is another principle objective which is to be satisfied. Due to the exchange of several information among the vehicles, security have become a major challenge. We have implemented the RSA encryption in our proposed model to securely transmit the data. Various simulation-based experiments are conducted to prove the efficiency of the proposed model.
Keywords:  
Software defined networking
SDN
5G network
fog computing
VANET
RSUS
Energy saving routing algorithm (ESRA)
RSA algorithm
security
Author(s) Name:  Jetendra Joshi; Kumari Renuka; Praveen Medikonda
Journal name:  
Conferrence name:  2018 22nd International Computer Science and Engineering Conference (ICSEC)
Publisher name:  IEEE
DOI:  10.1109/ICSEC.2018.8712714
Volume Information:  
Paper Link:   https://ieeexplore.ieee.org/abstract/document/8712714