Programs
- M. Tech. in Automotive Engineering -
- Fellowship In Interventional Pulmonology and Pulmonary Critical care - Fellowship
Publication Type : Journal Article
Publisher : Elsevier
Source : AEU-International Journal of Electronics and Communications (Q2), (Elsevier), vol. 124, DOI: https://doi.org/10.1016/j.aeue.2020.153327, (2020).
Url : https://www.sciencedirect.com/science/article/abs/pii/S1434841120300911
Campus : Chennai
School : School of Engineering
Department : Electronics and Communication
Year : 2020
Abstract : Tremendous growth of traffic in Vehicular Ad hoc NETworks (VANET) in recent days leads into enormous delay in data transfer. To overcome this, we use Software Defined Vehicular Networks (SDVN) as a promising solution with reliable multi-hop cooperative data dissemination (MHCDD) for data traffic forwarding in the network of end to end connectivity. In SDN based system, data forwarding in a road side unit is through cooperatively data dissemination. The intermittent connectivity in VANET dynamically changes because of the vehicular mobility, thereby causing SDN and RSU controller to link/connection failures. However, in multi-hop data traffic forwarding from source to destination node through RSU and SDN switches in which controllers control the data traffic for Virtual Network Customization (VNC). In this paper, we introduce Software defined-VANETs (SD-VANETs) to improve the network resource utilization by providing the network connectivity for dynamic network topology. Here, we analyze the network model using M/M/1 and M/M/m queueing models, which are proposed to effectively minimize the delay and enhance the throughput in multi-server queueing system of the SDVN. To achieve this, we propose a novel solution with enhancement of the SDVN system reliability in terms of service rate which is based on service level agreement.
Cite this Research Publication : Banoth Ravi, Anmol Gautam, Jaisingh Thangaraj, "Stochastic Performance Modeling and Analysis of Multi Service Provisioning with Software Defined Vehicular Networks," AEU-International Journal of Electronics and Communications (Q2), (Elsevier), vol. 124, DOI: https://doi.org/10.1016/j.aeue.2020.153327, (2020).