A Survey on Mobile Crowd-Sensing and Its Applications in the IoT Era
Mobile crowd-sensing (MCS) is a new sensing paradigm that takes advantage of the extensive use of mobile phones that collect data efficiently and enable several significant applications. MCS paves the way to explore new monitoring applications in different fields such as social networks, lifestyle,...
| 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/8570744/ |
| _version_ | 1818854606044659712 |
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| author | Khalid Abualsaud Tarek M. Elfouly Tamer Khattab Elias Yaacoub Loay Sabry Ismail Mohamed Hossam Ahmed Mohsen Guizani |
| author_facet | Khalid Abualsaud Tarek M. Elfouly Tamer Khattab Elias Yaacoub Loay Sabry Ismail Mohamed Hossam Ahmed Mohsen Guizani |
| author_sort | Khalid Abualsaud |
| collection | DOAJ |
| description | Mobile crowd-sensing (MCS) is a new sensing paradigm that takes advantage of the extensive use of mobile phones that collect data efficiently and enable several significant applications. MCS paves the way to explore new monitoring applications in different fields such as social networks, lifestyle, healthcare, green applications, and intelligent transportation systems. Hence, MCS applications make use of sensing and wireless communication capabilities provided by billions of smart mobile devices, e.g., Android and iOS-based mobile devices. The aim of this paper is to identify and explore the new paradigm of MCS that is using smartphone for capturing and sharing the sensed data between many nodes. We discuss the main components of the infrastructure required to support the proposed framework. The existing and potential applications leveraging MCS are laid out. Furthermore, this paper discusses the current challenges facing the collection methodologies of the participants’ data in task management. The recent issues in the MCS findings are reviewed as well as the opportunities and challenges in sensing methods are analyzed. Finally, open research issues and future challenges facing MCS are highlighted. |
| first_indexed | 2024-12-19T07:55:23Z |
| format | Article |
| id | doaj.art-d97b92514bf84d4d88c02a7d70149723 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-19T07:55:23Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-d97b92514bf84d4d88c02a7d701497232022-12-21T20:30:02ZengIEEEIEEE Access2169-35362019-01-0173855388110.1109/ACCESS.2018.28859188570744A Survey on Mobile Crowd-Sensing and Its Applications in the IoT EraKhalid Abualsaud0https://orcid.org/0000-0002-6693-3386Tarek M. Elfouly1Tamer Khattab2Elias Yaacoub3Loay Sabry Ismail4Mohamed Hossam Ahmed5Mohsen Guizani6https://orcid.org/0000-0002-8972-8094Department of Computer Engineering, College of Engineering, Qatar University, Doha, QatarDepartment of Computer Engineering, College of Engineering, Qatar University, Doha, QatarDepartment of Electrical Engineering, College of Engineering, Qatar University, Doha, QatarFaculty of Engineering, Electrical and Computer Engineering, American University of Beirut, Beirut, LebanonDepartment of Computer Engineering, College of Engineering, Qatar University, Doha, QatarFaculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John’s, CanadaDepartment of Computer Engineering, College of Engineering, Qatar University, Doha, QatarMobile crowd-sensing (MCS) is a new sensing paradigm that takes advantage of the extensive use of mobile phones that collect data efficiently and enable several significant applications. MCS paves the way to explore new monitoring applications in different fields such as social networks, lifestyle, healthcare, green applications, and intelligent transportation systems. Hence, MCS applications make use of sensing and wireless communication capabilities provided by billions of smart mobile devices, e.g., Android and iOS-based mobile devices. The aim of this paper is to identify and explore the new paradigm of MCS that is using smartphone for capturing and sharing the sensed data between many nodes. We discuss the main components of the infrastructure required to support the proposed framework. The existing and potential applications leveraging MCS are laid out. Furthermore, this paper discusses the current challenges facing the collection methodologies of the participants’ data in task management. The recent issues in the MCS findings are reviewed as well as the opportunities and challenges in sensing methods are analyzed. Finally, open research issues and future challenges facing MCS are highlighted.https://ieeexplore.ieee.org/document/8570744/Mobile crowd-sensingsmartphonedata sensor managementInternet of Thingslocation privacy |
| spellingShingle | Khalid Abualsaud Tarek M. Elfouly Tamer Khattab Elias Yaacoub Loay Sabry Ismail Mohamed Hossam Ahmed Mohsen Guizani A Survey on Mobile Crowd-Sensing and Its Applications in the IoT Era IEEE Access Mobile crowd-sensing smartphone data sensor management Internet of Things location privacy |
| title | A Survey on Mobile Crowd-Sensing and Its Applications in the IoT Era |
| title_full | A Survey on Mobile Crowd-Sensing and Its Applications in the IoT Era |
| title_fullStr | A Survey on Mobile Crowd-Sensing and Its Applications in the IoT Era |
| title_full_unstemmed | A Survey on Mobile Crowd-Sensing and Its Applications in the IoT Era |
| title_short | A Survey on Mobile Crowd-Sensing and Its Applications in the IoT Era |
| title_sort | survey on mobile crowd sensing and its applications in the iot era |
| topic | Mobile crowd-sensing smartphone data sensor management Internet of Things location privacy |
| url | https://ieeexplore.ieee.org/document/8570744/ |
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