A cooperative heterogeneous vehicular clustering mechanism for road traffic management
Document Type
Article
Publication Date
10-1-2020
Abstract
The vehicular ad-hoc networks integrates with long-term evolution (LTE) forming a heterogeneous network, capable of providing seamless connectivity, which meets the communication requirements of intelligent transportation systems. However, heterogeneous network-based applications involve LTE resource (data and spectrum) usage cost and must be taken care while developing such a solution. One of the scenarios is the access of the information to/from remote server over the internet via LTE for road traffic management applications. Although clustering of the vehicle is significant to minimize the data and LTE network usage, however, the problem of non-cooperation of the vehicles in clustering process and within a cluster are major issues in sharing costly data acquired from the internet. Because, who and why one (vehicle) should pay the cost is the big question, proliferating the non-cooperative behavior among the cluster members. To solve these issues, strategic game-theoretic based clustering mechanism named as cooperative interest-aware clustering (CIAC) is developed. The proposed CIAC not only balance the cost of usage by controlling non-cooperative behavior among the vehicles within the cluster but at the same time motivate vehicles to participate in the clustering process to share the data and cost as well. It consists of a cluster head selection process based on the strategic game-theoretic approach and a fair-use policy. The implementation results show superiority in performance of our protocol over the existing approaches.
Keywords
VANET, Road traffic management, LTE, Vehicular clustering, Cooperation, Game theory
Divisions
fsktm
Funders
Universiti Malaya [UM.0000007/HRU.GC.SS GC002B-15SUS],Mirpur University of Science and Technology, Mirpur, Pakistan,King Saud University [RG-1439-036]
Publication Title
International Journal of Parallel Programming
Volume
48
Issue
5
Publisher
Kluwer (now part of Springer)
Publisher Location
233 SPRING ST, NEW YORK, NY 10013 USA