Spatio-temporal Feature Based Multi-participant Recruitment in Heterogeneous Crowdsensing

Fengyuan Zhang, Zhiwen Yu, Yimeng Liu, Helei Cui, Bin Guo

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Mobile crowdsensing (MCS) collects sensing data by recruiting task participants to realize large-scale sensing tasks in cities. However, due to the limitations of human activity range and sensing mode, relying only on human participants to achieve this process will lead to sensing blind areas, ultimately affecting the integrity and validity of sensing data. With the rise of unmanned vehicles (UVs) and sensor-assisted MCS research, it provides new inspirations for solving complex sensing tasks in smart cities. In this article, we propose heterogeneous crowdsensing, which includes heterogeneous participants such as human participants, UVs, and fixed sensors. Our goal is to accomplish large-scale, high-quality urban sensing tasks by collaborating with these three types of heterogeneous participants. To solve the collaborative sensing problem, we propose an algorithm called spatio-temporal PPO (STPPO). We first define the capability and cost attributes of the heterogeneous participants and then divide the large-scale sensing area into a set of subregions by a subgraph construction method. Based on the spatio-temporal characteristics of the subregions and the attributes of the heterogeneous participants, we finally solve the cooperative scheduling problem of the subregions using proximal policy optimization (PPO) algorithms to maximize the overall POI collection rate and collection fairness. Finally, extensive experiments are conducted based on real datasets. The overall results of STPPO outperform other baselines, with a 30.19% performance improvement compared to the PPO algorithm.

源语言英语
主期刊名Proceedings - 2022 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Autonomous and Trusted Vehicles, Scalable Computing and Communications, Digital Twin, Privacy Computing, Metaverse, SmartWorld/UIC/ATC/ScalCom/DigitalTwin/PriComp/Metaverse 2022
出版商Institute of Electrical and Electronics Engineers Inc.
161-168
页数8
ISBN(电子版)9798350346558
DOI
出版状态已出版 - 2022
活动2022 IEEE SmartWorld, 19th IEEE International Conference on Ubiquitous Intelligence and Computing, 2022 IEEE International Conference on Autonomous and Trusted Vehicles Conference, 22nd IEEE International Conference on Scalable Computing and Communications, 2022 IEEE International Conference on Digital Twin, 8th IEEE International Conference on Privacy Computing and 2022 IEEE International Conference on Metaverse, SmartWorld/UIC/ATC/ScalCom/DigitalTwin/PriComp/Metaverse 2022 - Haikou, 中国
期限: 15 12月 202218 12月 2022

出版系列

姓名Proceedings - 2022 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Autonomous and Trusted Vehicles, Scalable Computing and Communications, Digital Twin, Privacy Computing, Metaverse, SmartWorld/UIC/ATC/ScalCom/DigitalTwin/PriComp/Metaverse 2022

会议

会议2022 IEEE SmartWorld, 19th IEEE International Conference on Ubiquitous Intelligence and Computing, 2022 IEEE International Conference on Autonomous and Trusted Vehicles Conference, 22nd IEEE International Conference on Scalable Computing and Communications, 2022 IEEE International Conference on Digital Twin, 8th IEEE International Conference on Privacy Computing and 2022 IEEE International Conference on Metaverse, SmartWorld/UIC/ATC/ScalCom/DigitalTwin/PriComp/Metaverse 2022
国家/地区中国
Haikou
时期15/12/2218/12/22

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