A Novel Quality and Reliability-Based Approach for Participants’ Selection in Mobile Crowdsensing
With the advent of mobile crowdsensing, we now have the possibility of tapping into the sensing capabilities of smartphones carried by citizens every day for the collection of information and intelligence about cities and events. Finding the best group of crowdsensing participants that can satisfy a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8657698/ |
| _version_ | 1818618771896532992 |
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| author | May El Barachi Assane Lo Sujith Samuel Mathew Kiyan Afsari |
| author_facet | May El Barachi Assane Lo Sujith Samuel Mathew Kiyan Afsari |
| author_sort | May El Barachi |
| collection | DOAJ |
| description | With the advent of mobile crowdsensing, we now have the possibility of tapping into the sensing capabilities of smartphones carried by citizens every day for the collection of information and intelligence about cities and events. Finding the best group of crowdsensing participants that can satisfy a sensing task in terms of data types required, while satisfying the quality, time, and budget constraints is a complex problem. Indeed, the time-constrained and location-based nature of crowdsensing tasks, combined with participants' mobility, render the task of participants' selection, a difficult task. In this paper, we propose a comprehensive and practical mobile crowdsensing recruitment model that offers reliability and quality-based approach for selecting the most reliable group of participants able to provide the best quality possible for the required sensory data. In our model, we adopt a group-based approach for the selection, in which a group of participants (gathered into sites) collaborate to achieve the sensing task using the combined capabilities of their smartphones. Our model was implemented using MATLAB and configured using realistic inputs such as benchmarked sensors' quality scores, most widely used phone brands in different countries, and sensory data types associated with various events. Extensive testing was conducted to study the impact of various parameters on participants' selection and gain an understanding of the compromises involved when deploying such process in practical MCS environments. The results obtained are very promising and provide important insights into the different aspects impacting the quality and reliability of the process of mobile crowdsensing participants' selection. |
| first_indexed | 2024-12-16T17:26:54Z |
| format | Article |
| id | doaj.art-3a03d4768f604adaa604dc25430f3982 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T17:26:54Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-3a03d4768f604adaa604dc25430f39822022-12-21T22:23:01ZengIEEEIEEE Access2169-35362019-01-017307683079110.1109/ACCESS.2019.29027278657698A Novel Quality and Reliability-Based Approach for Participants’ Selection in Mobile CrowdsensingMay El Barachi0https://orcid.org/0000-0003-1193-6982Assane Lo1Sujith Samuel Mathew2Kiyan Afsari3Faculty of Engineering and Information Sciences, University of Wollongong in Dubai, Dubai, United Arab EmiratesFaculty of Engineering and Information Sciences, University of Wollongong in Dubai, Dubai, United Arab EmiratesCollege of Technological Innovation, Zayed University, Abu Dhabi, United Arab EmiratesFaculty of Engineering and Information Sciences, University of Wollongong in Dubai, Dubai, United Arab EmiratesWith the advent of mobile crowdsensing, we now have the possibility of tapping into the sensing capabilities of smartphones carried by citizens every day for the collection of information and intelligence about cities and events. Finding the best group of crowdsensing participants that can satisfy a sensing task in terms of data types required, while satisfying the quality, time, and budget constraints is a complex problem. Indeed, the time-constrained and location-based nature of crowdsensing tasks, combined with participants' mobility, render the task of participants' selection, a difficult task. In this paper, we propose a comprehensive and practical mobile crowdsensing recruitment model that offers reliability and quality-based approach for selecting the most reliable group of participants able to provide the best quality possible for the required sensory data. In our model, we adopt a group-based approach for the selection, in which a group of participants (gathered into sites) collaborate to achieve the sensing task using the combined capabilities of their smartphones. Our model was implemented using MATLAB and configured using realistic inputs such as benchmarked sensors' quality scores, most widely used phone brands in different countries, and sensory data types associated with various events. Extensive testing was conducted to study the impact of various parameters on participants' selection and gain an understanding of the compromises involved when deploying such process in practical MCS environments. The results obtained are very promising and provide important insights into the different aspects impacting the quality and reliability of the process of mobile crowdsensing participants' selection.https://ieeexplore.ieee.org/document/8657698/Data qualitymathematical modelingmobile crowdsensingparticipants’ reliabilityparticipants’ selection |
| spellingShingle | May El Barachi Assane Lo Sujith Samuel Mathew Kiyan Afsari A Novel Quality and Reliability-Based Approach for Participants’ Selection in Mobile Crowdsensing IEEE Access Data quality mathematical modeling mobile crowdsensing participants’ reliability participants’ selection |
| title | A Novel Quality and Reliability-Based Approach for Participants’ Selection in Mobile Crowdsensing |
| title_full | A Novel Quality and Reliability-Based Approach for Participants’ Selection in Mobile Crowdsensing |
| title_fullStr | A Novel Quality and Reliability-Based Approach for Participants’ Selection in Mobile Crowdsensing |
| title_full_unstemmed | A Novel Quality and Reliability-Based Approach for Participants’ Selection in Mobile Crowdsensing |
| title_short | A Novel Quality and Reliability-Based Approach for Participants’ Selection in Mobile Crowdsensing |
| title_sort | novel quality and reliability based approach for participants x2019 selection in mobile crowdsensing |
| topic | Data quality mathematical modeling mobile crowdsensing participants’ reliability participants’ selection |
| url | https://ieeexplore.ieee.org/document/8657698/ |
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