Towards Crowdsourcing Internet of Things (Crowd-IoT): Architectures, Security and Applications

Kenneth Li Minn Ang, Jasmine Kah Phooi Seng and Ericmoore Ngharamike
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Kenneth Li Minn Ang: School of Science and Engineering, University of the Sunshine Coast, Petrie, QLD 4502, Australia
Jasmine Kah Phooi Seng: School of AI and Advanced Computing, Xian Jiaotong Liverpool University, Suzhou 215123, China
Ericmoore Ngharamike: Department of Computer Science, Federal University Oye-Ekiti, Oye-Ekiti 370112, Ekiti, Nigeria

Future Internet, 2022, vol. 14, issue 2, 1-50

Abstract: Crowdsourcing can play an important role in the Internet of Things (IoT) applications for information sensing and gathering where the participants are equipped with geolocated devices. Mobile crowdsourcing can be seen as a new paradigm contributing to the development of the IoT. They can be merged to form a new and essential platform in crowdsourcing IoT paradigm for data collection from different sources and communication mediums. This paper presents a comprehensive survey for this new Crowdsourcing IoT paradigm from four different perspectives: (1) Architectures for Crowd-IoT; (2) Trustworthy, Privacy and Security for Crowd-IoT; (3) Resources, Sharing, Storage and Energy Considerations for Crowd-IoT; and (4) Applications for Crowd-IoT. This survey paper aims to increase awareness and encourage continuing developments and innovations from the research community and industry towards the Crowdsourcing IoT paradigm.

Keywords: crowdsourcing; Internet of Thing (IoT); crowdsourcing IoT; mobile sensing; social sensing; collaborative sensing (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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