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.
Highlights
Howe [1] coined the concept of crowdsourcing in 2006 and described it as a new web‐based business strategy that leverages the creative solutions of a distributed network of individuals through an open call for proposals
This paper has given a comprehensive survey of the emerging research area of crowdsourcing Internet of Things
Having identified that no architecture was designed for crowdsourcing Internet of Things (IoT), we proposed an architecture termed Crowd‐IoT to effectively cap‐ ture the structure and components, and the interactions that exist within crowdsourcing
Summary
Howe [1] coined the concept of crowdsourcing in 2006 and described it as a new web‐based business strategy that leverages the creative solutions of a distributed network of individuals through an open call for proposals. Researchers in many fields have adopted the concept in developing techniques for many research problems. Over the past decade, crowdsourcing approaches have been developed to facilitate information processing and communication systems. The critical concept of crowdsourcing is the ac‐ tion of outsourcing and distributing tasks performed by workers to a large group of peo‐ ple termed as the crowd. In this approach, a group of socially connected workers with diverse expertise and experience are tasked to work together and collaboratively to solve problems which can be collecting, submitting, or sharing their data and opinion via the Internet. The task allocation and outcome collection are performed using an architecture involving the crowdsourcing platform and users
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