Abstract
With the increasingly popularity of user-centric mobile sensing and computing devices, e.g., smart phones, in-vehicle sensing devices and wearable devices, our knowledge of the physical world is extended by opening a new door to collect and process data about social events and natural phenomena [1, 2]. This alternative has triggered the emergence of mobile crowdsensing (MCS) services [3]. In MCS, individuals cooperatively sense data for the tasks released by customers and extract information to measure and map phenomena of common interests using their mobile devices [4].
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Lin, X., Ni, J., Shen, X.(. (2018). Location Privacy Protection in Mobile Crowdsensing. In: Privacy-Enhancing Fog Computing and Its Applications. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-02113-9_4
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DOI: https://doi.org/10.1007/978-3-030-02113-9_4
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