Crowdsourcing Energy as a Service
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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.
KeywordsCrowdsourcing 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.
- 3.Carroll, A., Heiser, G., et al.: An analysis of power consumption in a smartphoneGoogle Scholar
- 5.Habak, K., Ammar, M., Harras, K.A., Zegura, E.: Femto clouds: leveraging mobile devices to provide cloud service at the edge. In: 2015 IEEE 8th International Conference on Cloud Computing (CLOUD), pp. 9–16. IEEE (2015)Google Scholar
- 7.Jun, B., Hong, B., Yu, B.: Dynamic splitting policies of the adaptive 3DR-tree for indexing continuously moving objects. In: Mařík, V., Retschitzegger, W., Štěpánková, O. (eds.) DEXA 2003. LNCS, vol. 2736, pp. 308–317. Springer, Heidelberg (2003). https://doi.org/10.1007/978-3-540-45227-0_31CrossRefGoogle Scholar
- 8.Na, W., Park, J., Lee, C., Park, K., Kim, J., Cho, S.: Energy-efficient mobile charging for wireless power transfer in internet of things networks. IEEE IoT J. 5(1), 79–92 (2018)Google Scholar