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Optimizing Collaborative Task Allocation in Internet of Vehicles (IoV) through Blockchain-Enabled Incentive Mechanisms
Research Article | Published: 23 July 2025
ICCK Transactions on Sensing, Communication, and Control Volume 2, Issue 3, 2025: 147-167
Volume 2, Issue 3, ICCK Transactions on Sensing, Communication, and Control
Volume 2, Issue 3, 2025
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Saleh Mobayen
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National Yunlin University of Science and Technology, Taiwan
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ICCK Transactions on Sensing, Communication, and Control, Volume 2, Issue 3, 2025: 147-167

Research Article | 23 July 2025
Optimizing Collaborative Task Allocation in Internet of Vehicles (IoV) through Blockchain-Enabled Incentive Mechanisms
by
Zeeshan Ali Haider Zeeshan Ali Haider 1 *
Md Moklesur Rahman Md Moklesur Rahman 2
Muhammad Abbas Khan Muhammad Abbas Khan 3
Qaisar Sohail Qaisar Sohail 4
1 Department of Computer Science, Qurtuba University of Science & Information Technology, Peshawar 25000, Pakistan
2 IMT Atlantique, Brest Campus, 655 Avenue du Technopôle, Plouzané 29280, France
3 Faculty of Electrical Engineering, West Pomeranian University of Technology, Szczecin 70-313, Poland
4 Department of Computer Science, University of Bari Aldo Moro, Bari 70125, Italy
* Corresponding Author: Zeeshan Ali Haider, [email protected]
DOI: 10.62762/TSCC.2025.962030
Received: 29 April 2025, Accepted: 24 May 2025, Published: 23 July 2025  
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Abstract
The Internet of Vehicles (IoV) is a core component of smart transportation systems, making it feasible to exchange information among vehicles, infrastructure, and central systems in real time. However, the effective use of resources and the efficient distribution of tasks in these dynamic environments is a challenging task. This paper presents a blockchain-based collaborative task allocation framework method that can solve these problems by using a greedy algorithm for general task allocation and adopting a dynamic collaboration scheduling algorithm for emergent tasks. Employing the blockchain-based reward mechanism, the transparency, fairness, and security in dynamic mobile crowdsensing (MCS) tasks encourage vehicle participation. Our experimental results show that our framework outperforms traditional task allocation methods in terms of resource optimization and task completion time, particularly for emergent tasks with real-time demand for multisite collaborative vehicles. Further results reveal that the blockchain mechanism can ensure fair rewards allocation and increase system scalability. Future work will focus on improving energy efficiency and scalability, as well as on how to apply privacy-preserving techniques to the IoV environment in the future.
Graphical Abstract
Optimizing Collaborative Task Allocation in Internet of Vehicles (IoV) through Blockchain-Enabled Incentive Mechanisms
Keywords
internet of vehicles (IoV)
blockchain
collaborative task allocation
incentive mechanism
general task
emergent tasks
task scheduling
Data Availability Statement
Data will be made available on request.
Funding
This work was supported without any funding.
Conflicts of Interest
The authors declare no conflicts of interest.
Ethical Approval and Consent to Participate
Not applicable.
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Cite This Article
APA Style
Haider, Z. A., Rahman, M. M., Khan, M. A., & Sohail, Q. (2025). Optimizing Collaborative Task Allocation in Internet of Vehicles (IoV) through Blockchain-Enabled Incentive Mechanisms. ICCK Transactions on Sensing, Communication, and Control, 2(3), 147–167. https://doi.org/10.62762/TSCC.2025.962030
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