ISSN 1000-1239 CN 11-1777/TP

Journal of Computer Research and Development ›› 2022, Vol. 59 ›› Issue (4): 813-825.doi: 10.7544/issn1000-1239.20200565

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Task Distribution Based on User Attention and Time Supervision

Zhang Li1, Zhang Shukui1, Liu Hai2, Zhang Yang1, Tao Ye1, Long Hao1, Yu Chunqing1, Zhu Qiding1   

  1. 1(College of Computer Science and Technology, Soochow University, Suzhou, Jiangsu 215006);2(School of Computer Science and Technology, Huaibei Normal University, Huaibei, Anhui 235099)
  • Online:2022-04-01
  • Supported by: 
    This work was supported by the National Natural Science Foundation of China (62072321,61672370), the Advance Research Fund (61403120402), the Six Talent Peak Projects in Jiangsu Province ((2104-WLW-010), the Science and Technology Project of Suzhou of China (SNG2020073, SS202023), the Natural Science Research Project of Jiangsu Higher Education Institution (19KJB520061), and the Project of the Priority Academic Program Development of Jiangsu Higher Education Institutions.

Abstract: In the mobile crowd sensing network, how to complete the sensing task assigned by the publisher within a limited time is an important problem faced by the mobile crowd sensing task distribution. To solve this problem, we propose a task distribution algorithm TDUATS based on user attention and time supervision in order to make the sensing users cooperate closely and feed back the sensing tasks to the sender in time. In the algorithm, the concepts of user attention, initial supervision, process supervision and completion supervision are proposed at first, and then the relationship between users who perform sensing tasks is analyzed. In order to monitor the process of task execution, the attention model among users is established, and the sensing tasks are distributed on this basis.Two real-world mobility datasets experiments demonstrate that the our proposed algorithm can not only complete the sensing task within a limited time, but also supervise the process of task execution, which is conductive to the publisher to timely understand the execution of the task, and plays a good role in improving the satisfaction of task execution. At the same time, compared with the comparison algorithms, sender and publisher can understand the task execution process in time, effectively improving the satisfaction of both parties.

Key words: mobile sensor network, sensing task, user attention, time supervision, task distribution

CLC Number: