Paper Info
Title
A Cooperative Heterogeneous Vehicular Clustering Framework For Efficiency Improvement
Abstract
Heterogeneous vehicular clustering integrates multiple types of communication networks to work efficiently for various vehicular applications. One popular form of heterogeneous network is the integration of long-term evolution (LTE) and dedicated short-range communication. The heterogeneity of such a network infrastructure and the non-cooperation involved in sharing cost/data are potential problems to solve. A vehicular clustering framework is one solution to these problems, but the framework should be formally verified and validated before being deployed in the real world. To solve these issues, first, we present a heterogeneous framework, named destination and interest-aware clustering, for vehicular clustering that integrates vehicular ad hoc networks with the LTE network for improving road traffic efficiency. Then, we specify a model system of the proposed framework. The model is formally verified to evaluate its performance at the functional level using a model checking technique. To evaluate the performance of the proposed framework at the micro-level, a heterogeneous simulation environment is created by integrating state-of-the-art tools. The comparison of the simulation results with those of other known approaches shows that our proposed framework performs better.
Year
DOI
Venue
2021
10.1631/FITEE.2000260
FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING
Keywords
DocType
Volume
Vehicular cluster, Heterogeneity, Cooperation, Formal verification, System model, TN92
Journal
22
Issue
ISSN
Citations 
9
2095-9184
1
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Iftikhar Ahmad115627.06
Rafidah Md Noor225530.34
Zaheed Ahmed310.34
Umm-e-Habiba410.34
Naveed Akram510.34
Fausto Pedro García Márquez6438.51