Content Details | NUML Online Research Repository

Title Efficient management of excessive messaging for emergency scenarios in internet of vehicles

Author(s) Hasnat Abid

Abstract Title: Efficient Management of Excessive Messaging for Emergency Scenarios in Internet of Vehicles Due to the vast range of applications in numerous fields, the internet of vehicles (IoVs) has recently sparked a lot of attention. For supplying various services, these applications rely on the latest vehicle information. Constant message broadcasts by many vehicles, on the contrary, may not only overwhelm a centralized server but also produce enough traffic that is incompatible with continuous service, particularly in emergencies. Vehicles communicate and send messages for better conveyance. Some messages inform other vehicles about accidents or other unpleasant situations. In prior work, vehicles conveyed messages to one hop. There is a high probability that such a vehicle is not connected with the RSU, so vehicles cannot transfer emergency messages to other vehicles, and vehicles in that area cannot be aware of an emergency. Efficient management of excessive messaging (EEMS) for an emergency scenario in the internet of vehicles is a fog-assisted congestion avoidance strategy for IoV presented in this study. As in the previous research paper, they only implemented just one-hope neighbors to find the closest RSU for relaying an emergency message. However, suppose your one-hop neighbors do not discover the RSU. In that case, the message is likely to be lost and not sent to other vehicles in emergency conditions, making the situation extremely dangerous. When we enhance this one-hop neighbor to more than 2 to 3-hop neighbors, we can more easily locate the RSU and send out emergency signals to the whole network. Unlike most previous systems, EEMS takes advantage of fog computing benefits to reduce communication costs, congestion, and message delay and improve control services. Every vehicle must communicate with a fog server on regular terms, either straight or along intermediary nodes. In an emergency scenario, the fog server alerts approaching traffic to steady down and deploys rescue teams to offer needed assistance and organize patrol operations to clear the route. NS 2.35 simulations are used to validate the proposed scheme's performance. In terms of delay and communication cost, simulation findings show that EEMS reigns supreme over current methods.

Type Thesis/Dissertation MS

Faculty Engineering and Computer Science

Department Computer Science

Language English

Publication Date 2023-01-18

Subject

Publisher

Contributor(s)

Format

Identifier

Source

Relation

Coverage

Rights