Worker Selection towards High Service Quality in Mobile Crowd Sensing
In the field of mobile crowd sensing (MCS), worker selection is a key research issue and has progressively gained considerable interests in the academic community in recent years. The goal of worker selection is to choose the superior workers for tasks that require high-performance characteristics....
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| Vydáno v: | IEEE Vehicular Technology Conference s. 1 - 5 |
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| Médium: | Konferenční příspěvek |
| Jazyk: | angličtina |
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IEEE
01.09.2022
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| ISSN: | 2577-2465 |
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| Abstract | In the field of mobile crowd sensing (MCS), worker selection is a key research issue and has progressively gained considerable interests in the academic community in recent years. The goal of worker selection is to choose the superior workers for tasks that require high-performance characteristics. To solve the problems of long delay and poor perceived quality, we present a worker selection architecture for a recommendation system applied to the MCS system. A worker selection algorithm with high quality of service (QoS) is designed within the architecture, which considers the worker's reputation and willingness attributes to address the challenge of efficiently selecting excellent workers. Based on these two attributes, we then compute worker QoS and develop a three-dimensional tensor to optimize the worker's service. Finally, we get a continuously updated list of workers. Extensive experiments on real-world datasets show that the proposed algorithm performs better than the benchmarks, including random, greedy, and matrix-based algorithm. The results indicate that the proposed algorithm's efficiency has risen by 31% compared to the matrix-based algorithm. |
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| AbstractList | In the field of mobile crowd sensing (MCS), worker selection is a key research issue and has progressively gained considerable interests in the academic community in recent years. The goal of worker selection is to choose the superior workers for tasks that require high-performance characteristics. To solve the problems of long delay and poor perceived quality, we present a worker selection architecture for a recommendation system applied to the MCS system. A worker selection algorithm with high quality of service (QoS) is designed within the architecture, which considers the worker's reputation and willingness attributes to address the challenge of efficiently selecting excellent workers. Based on these two attributes, we then compute worker QoS and develop a three-dimensional tensor to optimize the worker's service. Finally, we get a continuously updated list of workers. Extensive experiments on real-world datasets show that the proposed algorithm performs better than the benchmarks, including random, greedy, and matrix-based algorithm. The results indicate that the proposed algorithm's efficiency has risen by 31% compared to the matrix-based algorithm. |
| Author | Zou, Hong Wu, Dapeng Wang, Ruyan Wang, Hongli Cui, Yaping He, Peng |
| Author_xml | – sequence: 1 givenname: Hong surname: Zou fullname: Zou, Hong email: zouhong@cqupt.edu.cn organization: Chongqing University of Posts and Telecommunications,School of Communication and Information Engineering,Chongqing,China – sequence: 2 givenname: Hongli surname: Wang fullname: Wang, Hongli email: s200131005@stu.cqupt.edu.cn organization: Chongqing University of Posts and Telecommunications,School of Communication and Information Engineering,Chongqing,China – sequence: 3 givenname: Yaping surname: Cui fullname: Cui, Yaping email: cuiyp@cqupt.edu.cn organization: Chongqing University of Posts and Telecommunications,School of Communication and Information Engineering,Chongqing,China – sequence: 4 givenname: Peng surname: He fullname: He, Peng email: hepeng@cqupt.edu.cn organization: Chongqing University of Posts and Telecommunications,School of Communication and Information Engineering,Chongqing,China – sequence: 5 givenname: Dapeng surname: Wu fullname: Wu, Dapeng email: wudp@cqupt.edu.cn organization: Chongqing University of Posts and Telecommunications,School of Communication and Information Engineering,Chongqing,China – sequence: 6 givenname: Ruyan surname: Wang fullname: Wang, Ruyan email: wangry@cqupt.edu.cn organization: Chongqing University of Posts and Telecommunications,School of Communication and Information Engineering,Chongqing,China |
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| Snippet | In the field of mobile crowd sensing (MCS), worker selection is a key research issue and has progressively gained considerable interests in the academic... |
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| SubjectTerms | Computer architecture Matrix decomposition Mobile crowd sensing Quality of service Sensors Simulation Tensors Vehicular and wireless technologies worker selection |
| Title | Worker Selection towards High Service Quality in Mobile Crowd Sensing |
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