Congestion avoidance through fog computing in internet of vehicles

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Details

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.

Autorentext

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.

Weitere Informationen

  • Allgemeine Informationen
    • Sprache Englisch
    • Anzahl Seiten 92
    • Herausgeber LAP LAMBERT Academic Publishing
    • Gewicht 155g
    • Untertitel Smooth Communication among IoTs
    • Autor Shumayla Yaqoob
    • Titel Congestion avoidance through fog computing in internet of vehicles
    • Veröffentlichung 10.09.2019
    • ISBN 6200312591
    • Format Kartonierter Einband
    • EAN 9786200312594
    • Jahr 2019
    • Größe H220mm x B150mm x T6mm
    • GTIN 09786200312594

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