Abstract
We propose a new framework for crowdsourcing energy services from Internet-of-Things devices. We introduce a new crowdsourced energy as a service and energy-related quality model considering spatiotemporal aspects. We describe a new temporal composition algorithm to compose energy services to satisfy a user’s energy requirement. The temporal composition algorithm is a variation of fractional knapsack algorithm. We conduct preliminary experiments to demonstrate the performance and effectiveness of our approach.
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CITATION STYLE
Lakhdari, A., Bouguettaya, A., & Neiat, A. G. (2018). Crowdsourcing energy as a service. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11236 LNCS, pp. 342–351). Springer Verlag. https://doi.org/10.1007/978-3-030-03596-9_24
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