- Title
- A cooperative heterogeneous vehicular clustering mechanism for road traffic management
- Creator
- Ahmad, Iftikhar; Noor, Rafidah; Zaba, Muhammad; Qureshi, Muhammad; Imran, Muhammad; Shoaib, Muhammad
- Date
- 2020
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/186092
- Identifier
- vital:16801
- Identifier
-
https://doi.org/10.1007/s10766-019-00629-y
- Identifier
- ISBN:0885-7458 (ISSN)
- 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. © 2019, Springer Science+Business Media, LLC, part of Springer Nature.
- Publisher
- Springer
- Relation
- International Journal of Parallel Programming Vol. 48, no. 5 (2020), p. 870-889
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © 2019, Springer Science+Business Media,
- Subject
- 4606 Distributed computing and systems software; Cooperation; Game theory; LTE; Road traffic management; VANET; Vehicular clustering
- Reviewed
- Funder
- 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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