Crowdsourcing Energy as a Service

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11236)


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.


Crowdsourcing IoT services Spatiotemporal service Temporal service composition Energy as a service Wearable device 



This research was partly made possible by NPRP 9-224-1-049 grant from the Qatar National Research Fund (a member of The Qatar Foundation) and DP1601 00149 and LE180100158 grants from Australian Research Council. The statements made herein are solely the responsibility of the authors.


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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.The University of SydneySydneyAustralia

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