题名 | Employing Social Participants for Timely Data Collection Using Pub/sub Solutions in Dynamic IoT Systems |
作者 | |
发表日期 | 2023 |
发表期刊 | Computer Networks
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ISSN/eISSN | 1389-1286 |
卷号 | 220 |
摘要 | In Mobile Crowd Sensing (MCS), the platform publishes sensing tasks with the requirements of location, time and data attributes and hires participants to perform sensing tasks, thus it can collect and process mass of sensing data to construct various applications and publish them to service requesters, which is a low cost and effective method for large-scale data processing. However, most of the existing studies do not consider the value of tasks with time-discount property and insufficient participation, which results in delayed task completion and low task completed ratio. In this paper, we propose data collection mechanisms in offline and online scenario considering both of these factors to collect data timely and increase the benefit of the platform effectively. We propose a multi-tiered spreading task structure, in which participants act as agents to recruit their social neighbors to perform tasks, and the social neighbors can be recruited as new agents to spread tasks so that there is a sufficient number of participants in the platform to be selected to perform tasks. In winner and agent selection of online mechanism, we change the allocation of budget in multi-stage sampling accepting process based on real-time task completed ratio. We proved that the proposed mechanisms achieve computational efficiency, truthfulness, individual rationality and budget feasibility, and after extensive experiments, we proved the proposed mechanisms are superior to previous strategies. |
关键词 | Data collection and procession IoT systems Mobile crowd sensing Pub/sub solutions Reverse auction mechanisms |
DOI | 10.1016/j.comnet.2022.109501 |
URL | 查看来源 |
语种 | 英语English |
Scopus入藏号 | 2-s2.0-85145663268 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://repository.uic.edu.cn/handle/39GCC9TT/11626 |
专题 | 个人在本单位外知识产出 |
通讯作者 | Liu,Anfeng |
作者单位 | 1.School of Computer Science and Engineering,Central South University,Changsha,410083,China 2.Department of Computer Science and Mathematics,Sul Ross State University,Alpine,79830,United States 3.School of Computer Science and Engineering of the Hunan University of Science and Technology,Xiangtan,411201,China 4.Artificial Intelligence and Future Networks,Beijing Normal University & UIC,Zhuhai,Guangdong,China 5.Department of Information and Electronic Engineering,Muroran Institute of Technology,Muroran,050-8585,Japan |
推荐引用方式 GB/T 7714 | Yu,Jiayi,Liu,Anfeng,Xiong,Neal N.et al. Employing Social Participants for Timely Data Collection Using Pub/sub Solutions in Dynamic IoT Systems[J]. Computer Networks, 2023, 220. |
APA | Yu,Jiayi, Liu,Anfeng, Xiong,Neal N., Zhang,Shaobo, Wang,Tian, & Dong,Mianxiong. (2023). Employing Social Participants for Timely Data Collection Using Pub/sub Solutions in Dynamic IoT Systems. Computer Networks, 220. |
MLA | Yu,Jiayi,et al."Employing Social Participants for Timely Data Collection Using Pub/sub Solutions in Dynamic IoT Systems". Computer Networks 220(2023). |
条目包含的文件 | 条目无相关文件。 |
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