TY  - JOUR
AU  - Haider, Zeeshan Ali
AU  - Rahman, Md Moklesur
AU  - Khan, Muhammad Abbas
AU  - Sohail, Qaisar
PY  - 2025
DA  - 2025/07/23
TI  - Optimizing Collaborative Task Allocation in Internet of Vehicles (IoV) through Blockchain-Enabled Incentive Mechanisms
JO  - ICCK Transactions on Sensing, Communication, and Control
T2  - ICCK Transactions on Sensing, Communication, and Control
JF  - ICCK Transactions on Sensing, Communication, and Control
VL  - 2
IS  - 3
SP  - 147
EP  - 167
DO  - 10.62762/TSCC.2025.962030
UR  - https://www.icck.org/article/abs/TSCC.2025.962030
KW  - internet of vehicles (IoV)
KW  - blockchain
KW  - collaborative task allocation
KW  - incentive mechanism
KW  - general task
KW  - emergent tasks
KW  - task scheduling
AB  - 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 demonstrate that our framework achieves strong performance in terms of resource optimization and task completion time, with resource utilization reaching up to 95% and task completion time decreasing significantly as the number of participating vehicles increases, 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.
SN  - 3068-9287
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  - 

@article{Haider2025Optimizing,
  author = {Zeeshan Ali Haider and Md Moklesur Rahman and Muhammad Abbas Khan and Qaisar Sohail},
  title = {Optimizing Collaborative Task Allocation in Internet of Vehicles (IoV) through Blockchain-Enabled Incentive Mechanisms},
  journal = {ICCK Transactions on Sensing, Communication, and Control},
  year = {2025},
  volume = {2},
  number = {3},
  pages = {147-167},
  doi = {10.62762/TSCC.2025.962030},
  url = {https://www.icck.org/article/abs/TSCC.2025.962030},
  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 demonstrate that our framework achieves strong performance in terms of resource optimization and task completion time, with resource utilization reaching up to 95\% and task completion time decreasing significantly as the number of participating vehicles increases, 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.},
  keywords = {internet of vehicles (IoV), blockchain, collaborative task allocation, incentive mechanism, general task, emergent tasks, task scheduling},
  issn = {3068-9287},
  publisher = {Institute of Central Computation and Knowledge}
}