This work presents a fog-assisted congestion avoidance scheme for IoV named Energy Efficient Message Dissemination (E2MD). To capitalize on the merits of fog computing and minimize delay, E2MD uses a distributed approach by employing a fog server to balance services in IoVs. In E2MD, vehicles continuously update their status to a fog server either directly or through intermediate nodes. In case of an emergency, the fog server will inform upcoming traffic to slow down the speed, dispatch rescue teams to provide necessary services, and coordinate patrolling missions to clear the road. Proposed scheme considers a reality based model having intercity highways as well as roads in urban areas. Each road consists of three lanes where left most is slowest and in the right lane vehicles are moving at high speed.
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SHUMAYLA YAQOOB received the B.Sc. degree in computer science from the Virtual University of Pakistan, in 2011, the M.C.S. degree from the National University of Modern Languages(NUML), Islamabad, Pakistan, in 2014, and the M.S.C.S. degree from the Department of Computer Science, NUML. She was a participant of 3MT presentation and has won two prizes.
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Taschenbuch. Zustand: Neu. Congestion avoidance through fog computing in internet of vehicles | Smooth Communication among IoTs | Shumayla Yaqoob | Taschenbuch | 92 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200312594 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Artikel-Nr. 117537321
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