The User Participation Incentive Mechanism of Mobile Crowdsensing Network Based on User Threshold
Mobile crowdsensing (MCS) network means completing large-scale and complex sensing tasks in virtue of the mobile devices of ordinary users. Therefore, sufficient user participation plays a basic role in MCS. On the basis of studying and analyzing the strategy of user participation incentive mechanis...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2020/2683981 |
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| author | Hua Su Qianqian Wu Xuemei Sun Ning Zhang |
| author_facet | Hua Su Qianqian Wu Xuemei Sun Ning Zhang |
| author_sort | Hua Su |
| collection | DOAJ |
| description | Mobile crowdsensing (MCS) network means completing large-scale and complex sensing tasks in virtue of the mobile devices of ordinary users. Therefore, sufficient user participation plays a basic role in MCS. On the basis of studying and analyzing the strategy of user participation incentive mechanism, this paper proposes the user threshold-based cognition incentive strategy against the shortcomings of existing incentive strategies, such as task processing efficiency and budget control. The user threshold and the budget of processing subtasks are set at the very beginning. The platform selects the user set with the lowest threshold, and the best user for processing tasks according to users’ budget. The incentive cost of the corresponding users is calculated based on the user threshold at last. In conclusion, through the experiment validation and comparison with the existing user participation incentive mechanism, it was found that the user threshold-based incentive strategy is advantageous in improving the proportion of task completion and reducing the platform’s budget cost. |
| format | Article |
| id | doaj-art-0e6a0e1b1b63483bbb49cdfa87c1b4e4 |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-0e6a0e1b1b63483bbb49cdfa87c1b4e42025-02-03T01:04:48ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2020-01-01202010.1155/2020/26839812683981The User Participation Incentive Mechanism of Mobile Crowdsensing Network Based on User ThresholdHua Su0Qianqian Wu1Xuemei Sun2Ning Zhang3School of Computer Science & Technology, Tiangong University, Tianjin 300387, ChinaSchool of Computer Science & Technology, Tiangong University, Tianjin 300387, ChinaSchool of Computer Science & Technology, Tiangong University, Tianjin 300387, ChinaSchool of Computer Science & Technology, Tiangong University, Tianjin 300387, ChinaMobile crowdsensing (MCS) network means completing large-scale and complex sensing tasks in virtue of the mobile devices of ordinary users. Therefore, sufficient user participation plays a basic role in MCS. On the basis of studying and analyzing the strategy of user participation incentive mechanism, this paper proposes the user threshold-based cognition incentive strategy against the shortcomings of existing incentive strategies, such as task processing efficiency and budget control. The user threshold and the budget of processing subtasks are set at the very beginning. The platform selects the user set with the lowest threshold, and the best user for processing tasks according to users’ budget. The incentive cost of the corresponding users is calculated based on the user threshold at last. In conclusion, through the experiment validation and comparison with the existing user participation incentive mechanism, it was found that the user threshold-based incentive strategy is advantageous in improving the proportion of task completion and reducing the platform’s budget cost.http://dx.doi.org/10.1155/2020/2683981 |
| spellingShingle | Hua Su Qianqian Wu Xuemei Sun Ning Zhang The User Participation Incentive Mechanism of Mobile Crowdsensing Network Based on User Threshold Discrete Dynamics in Nature and Society |
| title | The User Participation Incentive Mechanism of Mobile Crowdsensing Network Based on User Threshold |
| title_full | The User Participation Incentive Mechanism of Mobile Crowdsensing Network Based on User Threshold |
| title_fullStr | The User Participation Incentive Mechanism of Mobile Crowdsensing Network Based on User Threshold |
| title_full_unstemmed | The User Participation Incentive Mechanism of Mobile Crowdsensing Network Based on User Threshold |
| title_short | The User Participation Incentive Mechanism of Mobile Crowdsensing Network Based on User Threshold |
| title_sort | user participation incentive mechanism of mobile crowdsensing network based on user threshold |
| url | http://dx.doi.org/10.1155/2020/2683981 |
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