Trajectory-Based Task Allocation for Crowd Sensing in Internet of Vehicles
| Title | Trajectory-Based Task Allocation for Crowd Sensing in Internet of Vehicles |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Xiaoyu, Xu, Huang, Zhiqing, Lin, Zhuying |
| Conference Name | 2018 International Conference on Robots Intelligent System (ICRIS) |
| Date Published | May 2018 |
| Publisher | IEEE |
| ISBN Number | 978-1-5386-6580-0 |
| Keywords | Conferences, crowd sensing, human factors, Intelligent systems, Internet of Things, Internet of Vehicles, Metrics, minimal-cover problem, mobile computing, pubcrawl, resilience, Resiliency, robots, spatiotemporal availability, task allocation, trajectory-based task allocation scheme |
| Abstract | Crowd sensing is one of the core features of internet of vehicles, the use of internet of vehicles for crowd sensing is conducive to the rational allocation of sensing tasks. This paper mainly studies the problem of task allocation for crowd sensing in internet of vehicles, proposes a trajectory-based task allocation scheme for crowd sensing in internet of vehicles. With limited budget constraints, participants' trajectory is taken as an indicator of the spatiotemporal availability. Based on the solution idea of the minimal-cover problem, select the minimum number of participating vehicles to achieve the coverage of the target area. |
| URL | https://ieeexplore.ieee.org/document/8410275 |
| DOI | 10.1109/ICRIS.2018.00066 |
| Citation Key | xiaoyu_trajectory-based_2018 |