Title
COrRect: Connection-Oriented Resource Matching for Vehicular Clouds
Abstract
Recent advancements in smart and connected vehicles have led to increasing demand for vehicular communication and resources. It is thus essential to have a strategy that deals with resource management in vehicular Clouds where vehicles can form dynamic clouds for Edge computing. Such control is challenging due to high vehicle mobility and unstable connectivity. Previous works explored resource management problems in terms of vehicular mobility. However, stable connectivity is also crucial when talking about discovering and accessing resources from vehicles. Thus, we propose a resource management approach, COrRect, that makes use of connectivity and communication delays, along with the availability of heterogeneous resources from the vehicles to find the most suitable vehicle for resource/service provision. We have conducted a simulation experimental analysis to evaluate the performance of the proposed approach. Results have demonstrated that COrRect improved the selection of providers in terms of best connection conditions within highly-dynamic vehicular networks.
Year
DOI
Venue
2021
10.1109/ICC42927.2021.9500563
IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2021)
Keywords
DocType
ISSN
VANETs, Connectivity, Vehicular Clouds
Conference
1550-3607
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Rahul Kumar101.01
Abubakar Saad200.34
Robson Eduardo De Grande311017.37