دورية أكاديمية
PSCAR: a proactive-optimal-path selection with coordinator agents assisted routing for vehicular ad hoc networks
العنوان: | PSCAR: a proactive-optimal-path selection with coordinator agents assisted routing for vehicular ad hoc networks |
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المؤلفون: | Boussoufa Lahlah, Souaad, Semchedine, Fouzi, Bouallouche Medjkoune, Louiza, Farhi, Nadir |
المساهمون: | Unité de recherche Laboratoire de Modélisation et Optimisation des Systèmes Université de Béjaïa (Unité de recherche LaMOS = Research unit LaMOS), Université Abderrahmane Mira Université de Béjaïa = University Abderrahmane Mira University of Béjaïa (UB), Génie des Réseaux de Transport Terrestres et Informatique Avancée (IFSTTAR/COSYS/GRETTIA), Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Communauté Université Paris-Est |
المصدر: | ISSN: 1740-0562. |
بيانات النشر: | HAL CCSD Inderscience |
سنة النشر: | 2018 |
مصطلحات موضوعية: | VEHICLE AD HOT NETWORK VANET, POSITION-BASED ROUTING, GREEDY FORWARDING, CARRY AND FORWARD, RADIO OBSTACLE, NETWORK SIMULATOR 2 (NS-2), SUMO, DENSITE DU TRAFIC, ZONE URBAINE, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI] |
الوصف: | In this paper, we propose the Proactive-optimal-path Selection with Coordinator Agents Assisted Routing (PSCAR) protocol for Vehicular Ad hoc NETworks (VANETs) in an urban environment. The main idea of PSCAR is to contribute static nodes as coordinator agents placed at each intersection, in order to improve the routing performance and to deal with radio obstacles (buildings, trees.) and voids as encountered in urban environments. Since the coordinator agents are static nodes, each one knows all the paths to any other coordinator agent in the network. Thus, instead of searching an optimal path toward the destination node, PSCAR will determine an optimal path to the nearest coordinator agent to the destination node so as to better anticipate any change of the destinations position. The optimal path is selected according to two criteria: the total physical distance and the vehicle density on the path. The vehicle density is estimated based on a fundamental diagram of the traffic that allows estimating the vehicular traffic density on each road segment. To evaluate the performance of PSCAR we used the Network Simulator 2 (ns-2) and the mobility simulator SUMO. We compare our scheme with some existing solutions with the aim of showing its effectiveness, in terms of packet delivery ratio, end-to-end delay, and network overhead. |
نوع الوثيقة: | article in journal/newspaper |
اللغة: | English |
العلاقة: | hal-01393431; https://hal.science/hal-01393431Test; https://hal.science/hal-01393431v3/documentTest; https://hal.science/hal-01393431v3/file/doc00025892.pdfTest |
DOI: | 10.1504/IJHPCN.2018.089892 |
الإتاحة: | https://doi.org/10.1504/IJHPCN.2018.089892Test https://hal.science/hal-01393431Test https://hal.science/hal-01393431v3/documentTest https://hal.science/hal-01393431v3/file/doc00025892.pdfTest |
حقوق: | info:eu-repo/semantics/OpenAccess |
رقم الانضمام: | edsbas.142E3008 |
قاعدة البيانات: | BASE |
DOI: | 10.1504/IJHPCN.2018.089892 |
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