Francesco Raviglione, Simone Zocca, Alex Minetto, M. Malinverno, C. Casetti, C. Chiasserini, F. Dovis
{"title":"From collaborative awareness to collaborative information enhancement in vehicular networks","authors":"Francesco Raviglione, Simone Zocca, Alex Minetto, M. Malinverno, C. Casetti, C. Chiasserini, F. Dovis","doi":"10.2139/ssrn.4073200","DOIUrl":"https://doi.org/10.2139/ssrn.4073200","url":null,"abstract":"","PeriodicalId":23512,"journal":{"name":"Veh. Commun.","volume":"79 1","pages":"100497"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72949621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-04-01DOI: 10.1016/j.vehcom.2022.100473
C. Ballesteros, L. Montero, G. A. R. Arroyave, L. Jofre
{"title":"Multi-antenna 3D pattern design for millimeter-wave vehicular communications","authors":"C. Ballesteros, L. Montero, G. A. R. Arroyave, L. Jofre","doi":"10.1016/j.vehcom.2022.100473","DOIUrl":"https://doi.org/10.1016/j.vehcom.2022.100473","url":null,"abstract":"","PeriodicalId":23512,"journal":{"name":"Veh. Commun.","volume":"2 1","pages":"100473"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79333754","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-01DOI: 10.1016/j.vehcom.2022.100468
Shahid Mahmood, N. H. Nga, S. Shaikh
{"title":"Systematic threat assessment and security testing of automotive over-the-air (OTA) updates","authors":"Shahid Mahmood, N. H. Nga, S. Shaikh","doi":"10.1016/j.vehcom.2022.100468","DOIUrl":"https://doi.org/10.1016/j.vehcom.2022.100468","url":null,"abstract":"","PeriodicalId":23512,"journal":{"name":"Veh. Commun.","volume":"48 1","pages":"100468"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85621323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-02-01DOI: 10.1016/j.vehcom.2022.100460
A. Balador, A. Bazzi, U. Hernández-Jayo, I. D. L. Iglesia, Hossein Ahmadvand
{"title":"A survey on vehicular communication for cooperative truck platooning application","authors":"A. Balador, A. Bazzi, U. Hernández-Jayo, I. D. L. Iglesia, Hossein Ahmadvand","doi":"10.1016/j.vehcom.2022.100460","DOIUrl":"https://doi.org/10.1016/j.vehcom.2022.100460","url":null,"abstract":"","PeriodicalId":23512,"journal":{"name":"Veh. Commun.","volume":"46 1","pages":"100460"},"PeriodicalIF":0.0,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90535604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Internet of Vehicles over Vehicular Ad-hoc Networks is an emerging technology enabling the development of smart city applications focused on improving traffic safety, traffic efficiency, and the overall driving experience. These applications have stringent requirements detailed in Service Level Agreement. Since vehicles have limited computational and storage capabilities, applications requests are offloaded onto an integrated edge-cloud computing system. Existing offloading solutions focus on optimizing the application's Quality of Service (QoS) in terms of execution time, and respecting a single SLA constraint. They do not consider the impact of overlapped multi-requests processing nor the vehicle's varying speed. This paper proposes a novel Artificial Intelligence QoS-SLA-aware adaptive genetic algorithm (QoS-SLA-AGA) to optimize the application's execution time for multi-request offloading in a heterogeneous edge-cloud computing system, which considers the impact of processing multi-requests overlapping and dynamic vehicle speed. The proposed genetic algorithm integrates an adaptive penalty function to assimilate the SLA constraints regarding latency, processing time, deadline, CPU, and memory requirements. Numerical experiments and analysis compare our QoS-SLA-AGA to random offloading, and baseline genetic-based approaches. Results show QoS-SLA-AGA executes the requests 1.22 times faster on average compared to the random offloading approach and with 59.9% fewer SLA violations. In contrast, the baseline genetic-based approach increases the requests' performance by 1.14 times, with 19.8% more SLA violations.
{"title":"QoS-SLA-aware adaptive genetic algorithm for multi-request offloading in integrated edge-cloud computing in Internet of vehicles","authors":"Huned Materwala, L. Ismail, H. Hassanein","doi":"10.2139/ssrn.4280035","DOIUrl":"https://doi.org/10.2139/ssrn.4280035","url":null,"abstract":"The Internet of Vehicles over Vehicular Ad-hoc Networks is an emerging technology enabling the development of smart city applications focused on improving traffic safety, traffic efficiency, and the overall driving experience. These applications have stringent requirements detailed in Service Level Agreement. Since vehicles have limited computational and storage capabilities, applications requests are offloaded onto an integrated edge-cloud computing system. Existing offloading solutions focus on optimizing the application's Quality of Service (QoS) in terms of execution time, and respecting a single SLA constraint. They do not consider the impact of overlapped multi-requests processing nor the vehicle's varying speed. This paper proposes a novel Artificial Intelligence QoS-SLA-aware adaptive genetic algorithm (QoS-SLA-AGA) to optimize the application's execution time for multi-request offloading in a heterogeneous edge-cloud computing system, which considers the impact of processing multi-requests overlapping and dynamic vehicle speed. The proposed genetic algorithm integrates an adaptive penalty function to assimilate the SLA constraints regarding latency, processing time, deadline, CPU, and memory requirements. Numerical experiments and analysis compare our QoS-SLA-AGA to random offloading, and baseline genetic-based approaches. Results show QoS-SLA-AGA executes the requests 1.22 times faster on average compared to the random offloading approach and with 59.9% fewer SLA violations. In contrast, the baseline genetic-based approach increases the requests' performance by 1.14 times, with 19.8% more SLA violations.","PeriodicalId":23512,"journal":{"name":"Veh. Commun.","volume":"81 1-2 1","pages":"100654"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79813301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.1016/j.vehcom.2022.100455
A. Ameur, Abderrahmane Lakas, M. Yagoubi, Omar Sami Oubbati
{"title":"Peer-to-peer overlay techniques for vehicular ad hoc networks: Survey and challenges","authors":"A. Ameur, Abderrahmane Lakas, M. Yagoubi, Omar Sami Oubbati","doi":"10.1016/j.vehcom.2022.100455","DOIUrl":"https://doi.org/10.1016/j.vehcom.2022.100455","url":null,"abstract":"","PeriodicalId":23512,"journal":{"name":"Veh. Commun.","volume":"42 1","pages":"100455"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83307188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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