Authors | G.S. Chhabra1, P. William2 , A. Badholia3, Sharmila4 , V.M. Tidake5 , P.M. Patare6 , P.B. Khatkale7 |
Affiliations |
1Department of Computer Science and Engineering, GITAM School of Technology, GITAM Deemed to be University, Visakhapatnam, India 2Department of Information Technology, Sanjivani College Engineering, Kopargaon, SPPU, Pune, India 3Department of Computer Science and Engineering, Anjaneya University, Raipur, India 4Department of ECE, Raj Kumar Goel Institute of Technology, Ghaziabad, India 5Department of MBA, Sanjivani College of Engineering, Kopargaon, SPPU, Pune, India 6Department of Mechanical Engineering, Sanjivani College of Engineering Kopargaon, SPPU, Pune, India 7Sanjivani University, Kopargaon, MH, India |
Е-mail | abhibad@gmail.com |
Issue | Volume 16, Year 2024, Number 5 |
Dates | Received 11 June 2024; revised manuscript received 15 October 2024; published online 30 October 2024 |
Citation | G.S. Chhabra, P. William, A. Badholia, et al., J. Nano- Electron. Phys. 16 No 5, 05010 (2024) |
DOI | https://doi.org/10.21272/jnep.16(5).05010 |
PACS Number(s) | 07.05.Tp |
Keywords | Vehicle-to-Vehicle (V2V), Traffic Control, Intelligent Transportation System (ITS), Network Layers. |
Annotation |
Urban traffic congestion is difficult for modern urban management due to Rapid City expansion, outdated traffic control methods, inadequate road design and construction, and rising car ownership. The literature provides a detailed Internet of Things (IoT) based Intelligent Transportation System (ITS) architecture, focusing on the application, network, and perception levels. The application layer processes traffic data and supports various ITS. Through sensors and communication networks, the perception layer collects real-time traffic data, while the network layer ensures reliable and secure data transfer. The design delves into vehicular communication network protocol architecture, with a focus on Mobile Ad-hoc Networks (MANETs). In the context of Vehicle Ad-hoc Networks (VANETs), it covers security issues, the transport layer, the Physical and Media access control (PHY/MAC) layer, and routing protocols. The paper explores the integration of mobile models with network simulation tools, outlining two methods: the Mobile Fusion Model and the Mobile Embedded Model. In conclusion, a simulation study utilizing the Optimized Network Engineering Tool (OPNET) Modeler platform is presented, this study evaluates Destination Sequenced Distance Vector (DSDV) Protocol, and Optimized Link State Routing (OLSR) Protocol about packet loss performance, network load, and Vehicle-to-Vehicle (V2V) communication networks. |
List of References |