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Title FOG-ASSISTED CONGESTION AVOIDANCE SCHEME FOR INTERNET OF VEHICLES

Author(s) Shumayla Yaqoob

Abstract Internet of Vehicles (IoVs) is an emerging research area. It has wide ranging applications such as traffic management, vehicle security and communication among vehicle etc. Most of these applications require vehicles to continuously update their information to a centralized repository or server in order to gain various services. IoV message dissemination schemes are identified with congestion issues due to large number of messages populated by vehicles in the area. However, frequent transmission of messages by a large number of vehicles may not only overwhelm a centralized server but also causes a congestion which may be dangerous in emergency situations. The aim of this research is to minimize congestion for smooth communication. 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. The performance of the proposed scheme is validated through NS 2.35 simulations. Simulation results confirm the performance supremacy of E2MD compared to contemporary schemes in terms of delay, message overhead and packet delivery ratio. E2MD consume 5 microseconds while contemporary schemes cause delays in milliseconds. E2MD improves message delivery cost by 108% and decrease message overhead cost by 73% and 98% respectively than other schemes. In future need to work for the scenario if AV is blasted and unable to inform nearby vehicles.

Type Thesis/Dissertation MS

Faculty Engineering and Computer Science

Department Computer Science

Language English

Publication Date 2018-12-07

Subject Vehicular Adhoc Networks

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Rights NUML