An Effective Crowdsourcing Data Reporting Scheme to Compose Cloud-Based Services in Mobile Robotic Systems
The smart device combined with artificial intelligence can act as robot system to perform data collection task. To minimize the data collection cost and to guarantee the quality of service (QoS) of tasks are two vital issue in such mobile robot system. Data collection platform and data reporter ofte...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8453775/ |
| _version_ | 1818877425884332032 |
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| author | Yingying Ren Wei Liu Yuxin Liu Neal N. Xiong Anfeng Liu Xuxun Liu |
| author_facet | Yingying Ren Wei Liu Yuxin Liu Neal N. Xiong Anfeng Liu Xuxun Liu |
| author_sort | Yingying Ren |
| collection | DOAJ |
| description | The smart device combined with artificial intelligence can act as robot system to perform data collection task. To minimize the data collection cost and to guarantee the quality of service (QoS) of tasks are two vital issue in such mobile robot system. Data collection platform and data reporter often needs to negotiate with each other before start of data collection which will generate a certain cost. Once the platform and the data reporter agree to the cooperation, data reporter will collect and report data for a period. However, in previous researches, it was often considered that data reporters can report data at any time without considering the cost of interaction and negotiation, which is not suitable for the practice. In this paper, we propose an efficiency cost data collection scheme (ECDCS) in which the data reporter is selected according to the contribution that all the data it collects have on the whole system rather than a single data samples. Because there exists correlation in data, matrix completion technology can be adopted to recover the missing data samples with partial data while guarantee the QoS of the task. So, a data reporter selection scheme ECDCS based on the matrix completion technology is proposed in which the selection is in terms of the cooperation effect of the reporters rather than a single data sample. The main goal is to select the reporter set with low cost and high QoS which has the best cooperative effect. By doing so, in the proposed data collection scheme, the missing of partial data can be tolerated which can reduce data collection cost while guarantee the QoS. The extensive experiments results indicate that the proposed scheme can effectively reduce the data cost while maintain the QoS of application. |
| first_indexed | 2024-12-19T13:58:05Z |
| format | Article |
| id | doaj.art-659c4e4fb65e467295b50e8adeb6c447 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-19T13:58:05Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-659c4e4fb65e467295b50e8adeb6c4472022-12-21T20:18:32ZengIEEEIEEE Access2169-35362018-01-016546835470010.1109/ACCESS.2018.28682508453775An Effective Crowdsourcing Data Reporting Scheme to Compose Cloud-Based Services in Mobile Robotic SystemsYingying Ren0Wei Liu1Yuxin Liu2https://orcid.org/0000-0002-8632-2910Neal N. Xiong3https://orcid.org/0000-0002-0394-4635Anfeng Liu4https://orcid.org/0000-0001-5190-4761Xuxun Liu5https://orcid.org/0000-0003-3132-0616School of Information Science and Engineering, Central South University, Changsha, ChinaSchool of Informatics, Hunan University of Chinese Medicine, Changsha, ChinaSchool of Information Science and Engineering, Central South University, Changsha, ChinaDepartment of Mathematics and Computer Science, Northeastern State University, Tahlequah, OK, USASchool of Information Science and Engineering, Central South University, Changsha, ChinaCollege of Electronic and Information Engineering, South China University of Technology, Guangzhou, ChinaThe smart device combined with artificial intelligence can act as robot system to perform data collection task. To minimize the data collection cost and to guarantee the quality of service (QoS) of tasks are two vital issue in such mobile robot system. Data collection platform and data reporter often needs to negotiate with each other before start of data collection which will generate a certain cost. Once the platform and the data reporter agree to the cooperation, data reporter will collect and report data for a period. However, in previous researches, it was often considered that data reporters can report data at any time without considering the cost of interaction and negotiation, which is not suitable for the practice. In this paper, we propose an efficiency cost data collection scheme (ECDCS) in which the data reporter is selected according to the contribution that all the data it collects have on the whole system rather than a single data samples. Because there exists correlation in data, matrix completion technology can be adopted to recover the missing data samples with partial data while guarantee the QoS of the task. So, a data reporter selection scheme ECDCS based on the matrix completion technology is proposed in which the selection is in terms of the cooperation effect of the reporters rather than a single data sample. The main goal is to select the reporter set with low cost and high QoS which has the best cooperative effect. By doing so, in the proposed data collection scheme, the missing of partial data can be tolerated which can reduce data collection cost while guarantee the QoS. The extensive experiments results indicate that the proposed scheme can effectively reduce the data cost while maintain the QoS of application.https://ieeexplore.ieee.org/document/8453775/Mobile crowdsourcingdata collectionmatrix completion techniquelow costdata samples |
| spellingShingle | Yingying Ren Wei Liu Yuxin Liu Neal N. Xiong Anfeng Liu Xuxun Liu An Effective Crowdsourcing Data Reporting Scheme to Compose Cloud-Based Services in Mobile Robotic Systems IEEE Access Mobile crowdsourcing data collection matrix completion technique low cost data samples |
| title | An Effective Crowdsourcing Data Reporting Scheme to Compose Cloud-Based Services in Mobile Robotic Systems |
| title_full | An Effective Crowdsourcing Data Reporting Scheme to Compose Cloud-Based Services in Mobile Robotic Systems |
| title_fullStr | An Effective Crowdsourcing Data Reporting Scheme to Compose Cloud-Based Services in Mobile Robotic Systems |
| title_full_unstemmed | An Effective Crowdsourcing Data Reporting Scheme to Compose Cloud-Based Services in Mobile Robotic Systems |
| title_short | An Effective Crowdsourcing Data Reporting Scheme to Compose Cloud-Based Services in Mobile Robotic Systems |
| title_sort | effective crowdsourcing data reporting scheme to compose cloud based services in mobile robotic systems |
| topic | Mobile crowdsourcing data collection matrix completion technique low cost data samples |
| url | https://ieeexplore.ieee.org/document/8453775/ |
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