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A Cooperative Heterogeneous Vehicular Clustering Mechanism for Road Traffic Management

  • Iftikhar AhmadEmail author
  • Rafidah Md NoorEmail author
  • Muhammad Reza Zaba
  • Muhammad Ahsan Qureshi
  • Muhammad Imran
  • Muhammad Shoaib
Article
  • 16 Downloads

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 

Notes

Acknowledgements

This research is supported by Grand Challenge Grant UM.0000007/HRU.GC.SS GC002B-15SUS from Sustainable Science Cluster, University of Malaya, Malaysia. This research work is also sponsored by the Mirpur University of Science and Technology, Mirpur-10250 (AJK), Pakistan. The work of M. Imran and M. Shoaib is supported by the Deanship of Scientific Research, King Saud University through Research Group No. RG-1439-036.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Faculty of Computer Science and Information TechnologyUniversity of MalayaKuala LumpurMalaysia
  2. 2.Center for Mobile Cloud Computing Research (C4MCCR)University of MalayaKuala LumpurMalaysia
  3. 3.Department of CS and ITMirpur University of Science and TechnologyMirpurPakistan
  4. 4.Department of Computer Science and Software EngineeringInternational Islamic University IslamabadIslamabadPakistan
  5. 5.College of Computer and Information SciencesKing Saud UniversityRiyadhSaudi Arabia

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