Abstract
This paper introduces LogicCrowd, a declarative programming platform for mobile crowdsourcing applications (using social media networks and peer-to-peer networks), developed as an extension of Prolog. We present a study of energy consumption characteristics for our LogicCrowd prototype. Based on the measurements, we develop an energy-crowdsourcing consumption model for LogicCrowd on the Android platform and also extend the LogicCrowd meta-interpreter for computing with an energy budget corresponding to a certain battery lifetime.
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© 2014 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Phuttharak, J., Loke, S.W. (2014). Declarative Programming for Mobile Crowdsourcing: Energy Considerations and Applications. In: Stojmenovic, I., Cheng, Z., Guo, S. (eds) Mobile and Ubiquitous Systems: Computing, Networking, and Services. MobiQuitous 2013. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 131. Springer, Cham. https://doi.org/10.1007/978-3-319-11569-6_19
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DOI: https://doi.org/10.1007/978-3-319-11569-6_19
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