Paper Info
Title
On Link Stability Metric and Fuzzy Quantification for Service Selection in Mobile Vehicular Cloud
Abstract
Vehicular cloud (VC) is a promising environment, where intelligent transport applications can be developed relying on mobile vehicles, which can be both cloud users and cloud service providers. It enables vehicles that have sufficient resources to act as mobile cloud servers by offering a variety of services to users’ vehicles. In this context, to consume a cloud service on the move, a user vehicle must first identify the most stable vehicles, relative to his/her motion, which are able to provide the service, and then select the most suitable service according to his/her preferences, while both provider vehicles and their services are described by attributes or quality constraints. Therefore, we introduce a generic relative motion model, as a generic link stability metric, upon which vehicles can form a stable cloud, and we address the VC service selection by using linguistic quantifiers and fuzzy quantified propositions, to define our flexible quantified service selection (FQSS) scheme, which aggregates efficiently both user preferences and service constraints and ranks service providers from the most to the least satisfactory. To break ties among the top-ranked service providers, we make use of our parameters for ranking refinement, called <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">least satisfactory proportion</italic> (lsp) and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">greatest satisfactory proportion</italic> (gsp). The simulation results show that our link stability achieves generic motion, by modeling a wider range of vehicle motion types, and our FQSS scheme allows a good successful service consumption rate while reducing latency.
Year
DOI
Venue
2020
10.1109/TITS.2019.2911860
IEEE Transactions on Intelligent Transportation Systems
Keywords
DocType
Volume
Cloud computing,Stability analysis,Measurement,Vehicular ad hoc networks,Linguistics,Aggregates,Vehicle dynamics
Journal
21
Issue
ISSN
Citations 
5
1524-9050
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Nouredine Tamani18814.63
Bouziane Brik2347.50
Nasreddine Lagraa311318.22
Yacine Ghamri-Doudane475983.02