Smart Vehicle to Vehicle (V2V) Communication Network for Using Big Data Technology with Help of Link-State Routing Protocols
Download| Volume 3 Issue 2 2022 | |
|---|---|
| Author(s): |
Wali Muhammad Jatoi Noman Akram Raheel Sarwar |
| Abstract | In recent years, the Internet of Things (IoT) has witnessed a remarkable growth in both quality and quantity of consumer data. As a result, traffic management and modeling of smart cities and ecosystems have received significant attention from researchers. The present study focuses on identifying efficient and scalable algorithms in the context of modeling Smart Vehicle to Vehicle (V2V) Communication System, which is a part of the Vehicular Ad Hoc Networks (VANETs) framework. Additionally, this study presents prospects of using geographic area-based emergency message multicasting. The consumer data primarily aims at modeling the revolving dynamics of pressure lines, allowing for the rotation from any source that can be transformed into a connection line. The driveline power and torque sources for patterned applications represent engines and motors, which define an output torque as a characteristic of speed for system modeling purposes. The vehicle's factor library consists of blocks that represent an easy engine model, and these networks are configured by vehicles. Big Data Technology is predicted to have a significant impact on these models by 2022. The study uses the Log-Likelihood Ratio (LLR) Algorithm to calculate the average reduction in smart V2V communication values, based on actual road traffic information and investigations of the smart V2V communication system. The study also employs a Q-Learning agent to solve a common Mark-off Decision Process (MDP) environment. The model modifies the state transfer metrics and rewards the maximum metrics of the MDP. This utility considering Big Data Technology and highway traffic environment is based on an efficient network graph routing protocol device that provides customers with a successful utilization purpose and finds the optimal path of the results. |
| Keywords | Smart Vehicle to Vehicle (V2V) Communication System, Routing Protocols, Internet-Drafts, Mark-off Decision Process (MDP), and Big Data Technology. |
| Year | 2022 |
| Volume | 3 |
| Issue | 2 |
| Type | Research paper, manuscript, article |
| Recognized by | Higher Education Commission of Pakistan, HEC | Category | Journal Name | ILMA Journal of Technology & Software Management | Publisher Name | ILMA University | Jel Classification | -- | DOI | - | ISSN no (E, Electronic) | 2709-2240 | ISSN no (P, Print) | Country | Pakistan | City | Karachi | Institution Type | University | Journal Type | Open Access | Manuscript Processing | Blind Peer Reviewed | Format | Paper Link | https://ijtsm.ilmauniversity.edu.pk/arc/Vol3/i2/3.pdf | Page |