Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/380878
Title: | Enhancement in the Observations and Control on Road Side Area of Vehicular Communication System using Machine Learning with Fragment Processing |
Researcher: | Gautam, Kamlesh |
Guide(s): | Jain, V.K. and Verma, S.S. |
Keywords: | Computer Science Computer Science Software Engineering Engineering and Technology |
University: | Mody University of Science and Technology |
Completed Date: | 2020 |
Abstract: | At the outset, Vehicular Ad-hoc Network (VANET) was developed to newlineprovide vehicular communication with reliable and cost-efficient data distribution. newlineThen with the timely addition of VANET developments, a system framework has newlinebecome established, currently known as Vehicular Communication System (VCS). newlineThe Vehicular Communication System is a cooperative engagement of Vehicle newlineNodes with efficient utilization of On Board Unit (OBU), Cluster Head (CH), Road newlineSide Unit (RSU) and Infrastructure Domain Unit (IDU). This system is applicable newlinefor event prediction and reduction of many things like fuel utilization, traveling newlinetime, road area congestion, accident, etc. newline newline Nowadays, the VCS can provide better performance with the help of newlineVANET, Digital Frame Processing Machine learning, Internet of Things and 5G newlineconnection. After this, there is a space to enhance the reliability and scalability of the newlinevehicular Communication System. Until now, Vehicular Communication is also not newlineable to predict results regarding many road area events. Also, the event regarding newlinethose VCS can predict results; the enhancement is required for the real-time newlineprediction. However, for this type of prediction more data is required which newlineincreases data congestion in channel, transmission delay, packet loss and decrease newlinethroughput and packet delivery ratio. newline newline In this work, firstly the reliability and scalability of the Vehicular newlineCommunication System have analyzed for the clustering formation by various newlinevehicular communication technologies. Because without the formation of a cluster, newlinethe VCS cannot provide better performances for the analysis of clustered Vehicular newlineCommunication System scalability and reliability parameters are considered. In this newlineanalysis, it is found that reliability and scalability are higher of Optical Wireless newlineCommunication (OWC), Satellite communication, Worldwide Interoperability for newlineMicrowave Access, Long-range and 4G-5G technologies. However, Radio newlineFrequency Identification, Bluetooth, Infrared Radiation, Near Field Communicatio |
Pagination: | |
URI: | http://hdl.handle.net/10603/380878 |
Appears in Departments: | School of Engineering and Technology |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 224.94 kB | Adobe PDF | View/Open |
02_declaration.pdf | 187.52 kB | Adobe PDF | View/Open | |
03_certificates.pdf | 94.79 kB | Adobe PDF | View/Open | |
04_acknowledgement.pdf | 103.68 kB | Adobe PDF | View/Open | |
05_content.pdf | 11.5 kB | Adobe PDF | View/Open | |
06_list of graph and table.pdf | 105.63 kB | Adobe PDF | View/Open | |
07_abstractpdf.pdf | 8.81 kB | Adobe PDF | View/Open | |
08_chapter 1.pdf | 515.44 kB | Adobe PDF | View/Open | |
09_chapter 2.pdf | 683.45 kB | Adobe PDF | View/Open | |
11_chapter 4.pdf | 1.17 MB | Adobe PDF | View/Open | |
12_chapter 5.pdf | 1.05 MB | Adobe PDF | View/Open | |
13_chapter 6.pdf | 581.3 kB | Adobe PDF | View/Open | |
14_references.pdf | 447.43 kB | Adobe PDF | View/Open | |
15_publications.pdf | 887.41 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 805.97 kB | Adobe PDF | View/Open |
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