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

被引：19

作者：

Ang, Kenneth Li Minn ^{[1
]}

Seng, Jasmine Kah Phooi ^{[2
,3
]}

Ngharamike, Ericmoore ^{[4
]}

机构：

[1] Univ Sunshine Coast, Sch Sci & Engn, Petrie, Qld 4502, Australia

[2] Xian Jiaotong Liverpool Univ, Sch & Adv Comp, Suzhou 215123, Peoples R China

[3] Queensland Univ Technol, Sch Comp Sci, Brisbane, Qld 4000, Australia

[4] Fed Univ Oye Ekiti, Dept Comp Sci, Oye Ekiti 370112, Ekiti, Nigeria

来源：

FUTURE INTERNET | 2022年 / 14卷 / 02期

关键词：

crowdsourcing; Internet of Thing (IoT); crowdsourcing IoT; mobile sensing; social sensing; collaborative sensing; SMART CITIES; TASK ALLOCATION; AIR-QUALITY; BIG DATA; PRIVACY; EDGE; FRAMEWORK; SCHEME; LOCALIZATION; CHALLENGES;

D O I：

10.3390/fi14020049

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页数：50

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