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

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.

A Technology Survey on IoT Applications Serving Umrah and Hajj

“…Currently, spatial computing, crowd modeling simulations, smart screen devices, crowd monitoring and risk assessment systems, intelligent parking systems, cluster systems, and intelligent building technologies are used in an attempt to minimize crowd management issues by providing specific schedules, simulation of human behavior of crowds through past data, screens in essential locations to find lost pilgrims, surveillance cameras recording unusual activities, and innovative parking facilities to avoid congestion [53]. Furthermore, it is recommended to develop data and artificial intelligence technologies for crowd management that cater to numerous concerns in a single framework.…”

“…Big data and the Internet of ings (IoT) are attractive study subjects in the Hajj and Umrah systems because they may be utilized to enhance data-based decision-making in a variety of disciplines [5]. Numerous academics [28,[52][53][54] have created a range of frameworks for maximizing the utilization of massive amounts of data. In view of reliability and security issues, however, additional studies must be undertaken on the benefits of big data and the Internet of ings (IoT).…”

Hybrid AI-based iBeacon Indoor Positioning Cybersecurity Attacks and Defenses Thereof

“…Previous studies have examined the integrity and importance of IoT security from different perspectives, including the classi cation of attacks [33], the timeliness of encryption, algorithm deployment [34], mobile crowdsourcing [35], and cloud computing, etc. [36].…”

QUAD: A Quality Aware Multi-Unit Double Auction Framework for IoT-Based Mobile Crowdsensing in Strategic Setting

“…For detailed overview in IoT the readers can refer the following research works Liu et al (2018); Atzori et al (2010); Ray (2018); Ray et al (2018); Al-Fuqaha et al (2015); Ang et al (2022). The term 'Internet of Things' first came into picture in the year 1998 Ashton (1999).…”

“…The process of completion of task(s) by the crowd workers or group of common people equipped with sensing devices in the form of an open call give rise to a new paragmatic field of study termed as mobile crowdsensing (a.k.a. mobile crowdsourcing or crowdsensing) Hou et al (2019); Ang et al (2022); Peng et al (2015); Phuttharak and Loke (2019); Dasari et al (2020). The general framework of the mobile crowdsensing consists of three entities: (1) task requester(s) or task provider(s), ( 2) platform (or third party), and (3) task executors (crowd workers with smart devices).…”