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Journal Articles IEEE Communications Magazine Year : 2017

Sustainable Incentive Mechanisms for Mobile Crowdsensing Part 2

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Abstract

The articles in this special section focus on incentive mechanisms for mobile crowdsensing. Mobile crowdsensing is a promising technique in which a large amount of mobile devices collectively share data to measure, map, analyze, or estimate any processes of common interest. Recent mobile devices can collect vast quantities of data that are useful in a variety of ways. For example, GPS and accelerometer data can be used to locate potholes in cities, and microphones can be used with GPS to map noise pollution. Taking advantage of the ubiquitous presence of powerful mobile computing devices, it has become an appealing method to businesses that wish to collect data without making large-scale investments. Although plenty of sustainable and incentive mechanisms have been developed for mobile crowdsensing, many challenges still need to be addressed. It is significant to explore this timely research topic to support the development of mobile crowdsensing. © 1979-2012 IEEE.
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Dates and versions

hal-02305670 , version 1 (04-10-2019)

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Linghe Kong, Kui Ren, Muhammad Khurram Khan, Li Qi, Ammar Rayes, et al.. Sustainable Incentive Mechanisms for Mobile Crowdsensing Part 2. IEEE Communications Magazine, 2017, 55 (6), pp.118-119. ⟨10.1109/MCOM.2017.7946931⟩. ⟨hal-02305670⟩
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