R. R. Ali, Mohamed Ayad Alkhafaji, M. Guneser, F. Al-dolaimy, A. Alsalamy, Sameer Alani, F. Abbas, A. Alkhayyat, S. Mahmood
{"title":"基于信任的车载通信网络数据分发与队列管理","authors":"R. R. Ali, Mohamed Ayad Alkhafaji, M. Guneser, F. Al-dolaimy, A. Alsalamy, Sameer Alani, F. Abbas, A. Alkhayyat, S. Mahmood","doi":"10.1109/APSIT58554.2023.10201757","DOIUrl":null,"url":null,"abstract":"A Vehicular Adhoc Network (VANET) is used in maximum of the applications of intelligent transportation system (ITS). It is one among the high-speed communication networks as the results it undergone few of the drawbacks such as congestion occurrence, computation delay and overhead occurrence and so on. It is essential to monitor the network periodically and complicated to monitor the VANETs. In this paper, a Trust based Data dissemination and Queue management for VANETs (TDQ-VANETs) are introduced. At the initial stage, before the data transmission direct trust, indirect trust and total trust values of each vehicle are measured and it gets updated periodically. At the time of data transmission queue management is performed using dual queue model that employs both CSMA and TDMA models to transfer the data. The simulation of the proposed TDQ-VANETs approach is performed in NS2 and SUMO. The packet delivery rate, computational delay, computational overhead and throughput are the parameters used for performance analysis. The results compared with the earlier approaches such as AJ-MOFA and RO-DLAA. The results show that the TDQ-VANETs approach achieved superior performance in terms of packet delivery ratio and throughput.","PeriodicalId":170044,"journal":{"name":"2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Trust based Data Dissemination and Queue Management for Vehicular Communication Networks\",\"authors\":\"R. R. Ali, Mohamed Ayad Alkhafaji, M. Guneser, F. Al-dolaimy, A. Alsalamy, Sameer Alani, F. Abbas, A. Alkhayyat, S. Mahmood\",\"doi\":\"10.1109/APSIT58554.2023.10201757\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A Vehicular Adhoc Network (VANET) is used in maximum of the applications of intelligent transportation system (ITS). It is one among the high-speed communication networks as the results it undergone few of the drawbacks such as congestion occurrence, computation delay and overhead occurrence and so on. It is essential to monitor the network periodically and complicated to monitor the VANETs. In this paper, a Trust based Data dissemination and Queue management for VANETs (TDQ-VANETs) are introduced. At the initial stage, before the data transmission direct trust, indirect trust and total trust values of each vehicle are measured and it gets updated periodically. At the time of data transmission queue management is performed using dual queue model that employs both CSMA and TDMA models to transfer the data. The simulation of the proposed TDQ-VANETs approach is performed in NS2 and SUMO. The packet delivery rate, computational delay, computational overhead and throughput are the parameters used for performance analysis. The results compared with the earlier approaches such as AJ-MOFA and RO-DLAA. The results show that the TDQ-VANETs approach achieved superior performance in terms of packet delivery ratio and throughput.\",\"PeriodicalId\":170044,\"journal\":{\"name\":\"2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APSIT58554.2023.10201757\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APSIT58554.2023.10201757","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Trust based Data Dissemination and Queue Management for Vehicular Communication Networks
A Vehicular Adhoc Network (VANET) is used in maximum of the applications of intelligent transportation system (ITS). It is one among the high-speed communication networks as the results it undergone few of the drawbacks such as congestion occurrence, computation delay and overhead occurrence and so on. It is essential to monitor the network periodically and complicated to monitor the VANETs. In this paper, a Trust based Data dissemination and Queue management for VANETs (TDQ-VANETs) are introduced. At the initial stage, before the data transmission direct trust, indirect trust and total trust values of each vehicle are measured and it gets updated periodically. At the time of data transmission queue management is performed using dual queue model that employs both CSMA and TDMA models to transfer the data. The simulation of the proposed TDQ-VANETs approach is performed in NS2 and SUMO. The packet delivery rate, computational delay, computational overhead and throughput are the parameters used for performance analysis. The results compared with the earlier approaches such as AJ-MOFA and RO-DLAA. The results show that the TDQ-VANETs approach achieved superior performance in terms of packet delivery ratio and throughput.