The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
When Mobile Crowd Sensing Meets UAV: Energy-Efficient Task Assignment and Route Planning
Abstract
With the increasing popularity of unmanned aerial vehicles (UAVs), it is foreseen that they will play an important role in broadening the horizon of mobile crowd sensing (MCS). Specifically, UAV-aided MCS allows autonomous data collection anytime and anywhere due to the capability of fast deployment and controllable mobility. However, the on-board battery capacity of UAVs imposes a limitation on their endurance capability and performance. In this paper, we consider the fixed-wing UAV-aided MCS system and investigate the corresponding joint route planning and task assignment problem from an energy efficiency perspective. The formulated joint optimization problem is transformed into a two-sided two-stage matching problem, in which the route planning problem is solved in the first stage based on either dynamic programming or genetic algorithms, and the task assignment problem is addressed in the second stage by exploring the Gale-Shapley algorithm. We provide a comprehensive theoretical analysis, and elaborate the procedures of practical implementation. Numerical results demonstrate that significant performance improvement can be achieved by the proposed scheme.
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Cites
College Admissions and the Stability of Marriage
Gale, D., & Shapley, L. S. (1962) · The American Mathematical Monthly · doi:10.1080/00029890.1962.11989827 · Cited by 5,985
Wireless communications with unmanned aerial vehicles: opportunities and challenges
Zeng, Y., Zhang, R., & Lim, T. J. (2016) · IEEE Communications Magazine · doi:10.1109/mcom.2016.7470933 · Cited by 4,048
Ke, R., Li, Z., Tang, J., Pan, Z., & Wang, Y. (2019) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2018.2797697 · Cited by 292
Cited by
A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities
Capponi, A., Fiandrino, C., Kantarci, B., Foschini, L., Kliazovich, D., & Bouvry, P. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2914030 · Cited by 594
Resource Scheduling in Edge Computing: A Survey
Luo, Q., Hu, S., Li, C., Li, G., & Shi, W. (2021) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2021.3106401 · Cited by 588
UAV Swarm Intelligence: Recent Advances and Future Trends
Zhou, Y., Rao, B., & Wang, W. (2020) · IEEE Access · doi:10.1109/access.2020.3028865 · Cited by 373
Learning in the Air: Secure Federated Learning for UAV-Assisted Crowdsensing
Wang, Y., Su, Z., Zhang, N., & Benslimane, A. (2021) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2020.3014385 · Cited by 323
Drones’ Edge Intelligence Over Smart Environments in B5G: Blockchain and Federated Learning Synergy
Alsamhi, S. H., Almalki, F. A., Afghah, F., Hawbani, A., Shvetsov, A. V., Lee, B., & Song, H. (2022) · IEEE Transactions on Green Communications and Networking · doi:10.1109/tgcn.2021.3132561 · Cited by 139
Metadata
- Authors
- Zhou, Z., Feng, J., Gu, B., Ai, B., Mumtaz, S., Rodriguez, J., & Guizani, M.
- Venue
- IEEE Transactions on Communications
- Published
- 2018-11
- Volume
- 66
- Issue
- 11
- Pages
- 5526-5538
- ISSN
- 0090-6778 (ISSN-L)
- 1558-0857
- OpenAlex
- W2883880986
- Cited by
- 302
- References
- 3
- FWCI
- 31.36
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zhou, Z., Feng, J., Gu, B., Ai, B., Mumtaz, S., Rodriguez, J., & Guizani, M. (2018). When Mobile Crowd Sensing Meets UAV: Energy-Efficient Task Assignment and Route Planning. IEEE Transactions on Communications. https://doi.org/10.1109/tcomm.2018.2857461
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