PMLC- Predictions of Mobility and Transmission in a Lane-Based Cluster VANET Validated on Machine Learning
Article Sidebar
Main Article Content
Abstract
VANET refers to a massive network system, to communicate with each vehicle or infrastructure a precision protocol, an advanced view and routing system is required. This means of communication should be appropriate for all kind of vehicles. In this proposed PMLC protocol, which was built on cluster routing in a lane-based road environment. The network requires optimal solutions to form the cluster and choose its leader. All road environment characteristics are chosen, and multilayer estimations are generated to obtain specific deviations and variations, which are calculated based on data transfer and vehicle movement, and exact values are found using the machine learning system. The neural network processes the inputs, selects the required leader, and sends the data to the destination. At the end of this explanation, the execution of this protocol is depicted graphically.
Article Details
References
Sachin P. Godse, Parikshit N. Mahalle, Sanjeev J. Wagh, “Rising Issues in VANET Communication and Security: A State of Art Survey”, International Journal of Advanced Computer Science and Applications(IJACSA), Vol. 8, No. 9, 2017.
TASSOULT Nadia, AMAD Mourad, MOUMEN Hamouma, KALLA Hamoudi, “A Survey on Vehicular Ad-Hoc Networks Routing Protocols: Classification and Challenges”, Journal of Digital Information Management, Volume 17 Number 4, August 2019.
M.beheshtifar, “Discussion And Review In Vanet”, International Journal of Information, Security and Systems Management(IJISSM), Vol.7,No.1, 2018.
Ram Shringar Raw, Manish Kumar, Nanhay Singh, “Security Challenges, Issues and Their Solutions for VANET”, International Journal of Network Security & Its Applications (IJNSA), Vol.5, No.5, September 2013.
Gyawali, M. Y. P. ., Angurala, D. M. ., & Bala, D. M. . (2020). Cloud Blockchain Based Data Sharing by Secure Key Cryptographic Techniques with Internet of Things. Research Journal of Computer Systems and Engineering, 1(2), 07:12. Retrieved from https://technicaljournals.org/RJCSE/index.php/journal/article/view/5.
P.A.Sumayya, P.S.Shefeena, “VANET Based Vehicle Tracking Module for Safe and Efficient Road Transportation System”, International Conference on Information and Communication Technologies (ICICT), 2015.
Paul Garcia, Ian Martin, .Diego Rodríguez, Alejandro Perez, Juan Martinez. Optimizing Adaptive Learning Environments using Machine Learning. Kuwait Journal of Machine Learning, 2(2). Retrieved from http://kuwaitjournals.com/index.php/kjml/article/view/178.
Shridevi Jeevan Kamble, Manjunath R Kounte, “Routing and Scheduling Issues in Vehicular Ad-hoc Networks”, International Journal of Recent Technology and Engineering (IJRTE), Volume-8 Issue-3, September 2019.
Hiroshi Yamamoto, An Ensemble Learning Approach for Credit Risk Assessment in Banking , Machine Learning Applications Conference Proceedings, Vol 1 2021.
Josiane Nzouonta, Neeraj Rajgure, Guiling Wang, and Cristian Borcea, “VANET Routing on City Roads using Real-Time Vehicular Traffic Information”, IEEE, 2008.
Ahammad, D. S. K. H. (2022). Microarray Cancer Classification with Stacked Classifier in Machine Learning Integrated Grid L1-Regulated Feature Selection. Machine Learning Applications in Engineering Education and Management, 2(1), 01–10. Retrieved from http://yashikajournals.com/index.php/mlaeem/article/view/18.
Sang-woo Chang and Sang-sun Lee, “Distance-Based Stable Routing Decision Scheme in Urban Vehicular Ad Hoc Networks”, Hindawi Publishing Corporation International Journal of Distributed Sensor Networks Volume, 2015.
S.Gayathri, S.Nithya, G.Shanthini, R.Janani, R.Ramachandiran, M.Shanmugam, T.Kalaipriyan, RS. Raghav, G. Siva Nageswara Rao, “ACO-ECDSA Based Secure Routing in VANET: A Bio-Inspired Approach”, International Journal of Pure and Applied Mathematics, Volume 119 No. 14, 2018.
bin Saion, M. P. . (2021). Simulating Leakage Impact on Steel Industrial System Functionality. International Journal of New Practices in Management and Engineering, 10(03), 12–15. https://doi.org/10.17762/ijnpme.v10i03.129.
Dr. R. Dhaya, Dr. R. Kanthavel, “Bus-Based VANET using ACO Multipath Routing Algorithm”, Journal of trends in Computer Science and Smart technology (TCSST), Vol.03, No. 01, 2021.
Pratik Gujar, Dr.P R Bajaj, “Bio-Inspired Routing Protocol for Vehicular Adhoc Networks”, International Journal of Advancements in Research & Technology, Volume 3, Issue 4, April-2014.
Josiane Nzouonta, Neeraj Rajgure, Guiling (Grace) Wang, and Cristian Borcea, “VANET Routing on City Roads Using Real-Time Vehicular Traffic Information”, IEEE Transactions on Vehicular Technology, Vol. 58, No. 7, September 2009.
Prerana Deshmukh, Prof. Shrikant Sonekar, “Improving Energy and Efficiency in cluster based VANETs through AODV Protocol”, International Journal of Computer Science and Information Technologies(IJCSIT), Vol. 5 (3) , 2014.
Asim, A. ., & Cada, M. . (2023). Enhancement of Physical Layer Security in Flying Ad-hoc Networks by Intelligent Reflecting Metasurfaces. International Journal of Intelligent Systems and Applications in Engineering, 11(1s), 46–50. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2475.
AbduladhimAshtaiwi, AbdusadikSaoud and Ibrahim Almerhag, “Performance Evaluation of Vanets Routing Protocols”, 2014.
S.Vinothini, Mr. J. John Raybin Jose, “A Review on Routing Protocols in VANET”, International Journal of Advanced Research in Computer and Communication Engineering(IJARCCE), Vol. 4, Issue 7, July 2015.