Abstract
Several studies on Internet-of-Things (IoT)-based sensor data collection and portable sensing techniques have been reported for smart city monitoring via built-in sensors of smart mobile devices. A key question in smart city crowdsensing is how to ensure the usefulness or value of the data collected from citizens in a participatory manner. Related work proposes maintaining distributed user reputation databases to overcome malicious attempts or persistent sensor errors. This article provides a survey of the state of the art in reputation-based crowdsensing in smart cities by revisiting remarkable solutions to collect and analyze data from mobile devices. Furthermore, the authors present a novel vote-based reputation-aware user-recruitment approach that unveils the impact of collaborative trustworthiness assessment with anchor smart citizens. They provide useful insight toward future directions, open issues, and challenges in this area.
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