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Published VersionCC BY V4.0, Open Access
Journal article
Towards crowdsourcing Internet of Things (Crowd-IoT): architectures, security and applications
Future Internet, Vol.14(2), pp.1-50
2022
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, Storageand 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 theresearch community and industry towards the Crowdsourcing IoT paradigm.
Details
- Title
- Towards crowdsourcing Internet of Things (Crowd-IoT): architectures, security and applications
- Authors
- Kenneth Ang (Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and EngineeringJasmine Kah Phooi Seng (Author) - Queensland University of TechnologyEricmoore Ngharamike (Author) - Federal University Oye Ekiti
- Publication details
- Future Internet, Vol.14(2), pp.1-50
- Publisher
- MDPI AG
- Date published
- 2022
- DOI
- 10.3390/fi14020049
- ISSN
- 1999-5903
- Copyright note
- © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/4.0/).
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Engage Research Lab; External
- Language
- English
- Record Identifier
- 99611908602621
- Output Type
- Journal article
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