An Intelligent Traffic Management System in Vehicle-to-NH Road (V2N) using Dynamic Optimal Random Access (DORA) protocol in Comparison with Dynamic Source Routing (DSRP) Protocol to Improve Packet Delivery Ratio
{"title":"An Intelligent Traffic Management System in Vehicle-to-NH Road (V2N) using Dynamic Optimal Random Access (DORA) protocol in Comparison with Dynamic Source Routing (DSRP) Protocol to Improve Packet Delivery Ratio","authors":"C. Raghavendra, N. Deepa","doi":"10.1109/ICECCT56650.2023.10179795","DOIUrl":null,"url":null,"abstract":"The aim of the study is to find traffic management system in Vehicle to NH Road to analyze packet delivery ratio using Dynamic optimal random access in comparison with Dynamic source routing protocol in wireless networking. Materials and Methods: Low packet delivery ratio are performed with traffic dataset. classification of dynamic optimal random-access protocol where a number of the samples are ($\\mathrm{N}=26$) and dynamic source routing protocol where a number of the samples ($\\mathrm{N}=26$) obtained using the G-power value is 80%. Results and Discussion: Dynamic Optimal Random Access and Dynamic Source Routing Protocol. The mean of Dynamic Optimal Random Access is 17.27 and Dynamic Source Routing Protocol is 14.77. T-Test for comparison for Dynamic Optimal Random Access standard error mean (0.335) and Dynamic Source Routing Protocol (0.416). Novel traffic management system from the dataset has a packet delivery ratio of 95% which can be comparatively higher than dynamic source routing protocol accuracy. The significance value of accuracy is 0.157 ($p > 0.05$). Conclusion: Dynamic optimal random access performs better in finding packet delivery ratio when compared to dynamic source routing protocol.","PeriodicalId":180790,"journal":{"name":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECCT56650.2023.10179795","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The aim of the study is to find traffic management system in Vehicle to NH Road to analyze packet delivery ratio using Dynamic optimal random access in comparison with Dynamic source routing protocol in wireless networking. Materials and Methods: Low packet delivery ratio are performed with traffic dataset. classification of dynamic optimal random-access protocol where a number of the samples are ($\mathrm{N}=26$) and dynamic source routing protocol where a number of the samples ($\mathrm{N}=26$) obtained using the G-power value is 80%. Results and Discussion: Dynamic Optimal Random Access and Dynamic Source Routing Protocol. The mean of Dynamic Optimal Random Access is 17.27 and Dynamic Source Routing Protocol is 14.77. T-Test for comparison for Dynamic Optimal Random Access standard error mean (0.335) and Dynamic Source Routing Protocol (0.416). Novel traffic management system from the dataset has a packet delivery ratio of 95% which can be comparatively higher than dynamic source routing protocol accuracy. The significance value of accuracy is 0.157 ($p > 0.05$). Conclusion: Dynamic optimal random access performs better in finding packet delivery ratio when compared to dynamic source routing protocol.