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arXiv · 2007.09985

Incentive-Based Selection and Composition of IoT Energy Services

Amani Abusafia·Athman Bouguettaya·Sajib Mistry
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Abstract

We propose a novel incentive-based framework for composing energy service requests. An incentive model is designed that considers the context of the providers and consumers to determine rewards for sharing wireless energy. We propose a novel priority scheduling approach to compose energy service requests that maximizes the reward of the provider. A set of exhaustive experiments with a dataset and collected IoT users' behavior is conducted to evaluate the proposed approach. Experimental results prove the efficiency of the proposed approach.

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Amani Abusafia, Athman Bouguettaya, Sajib Mistry. 2020-07-20. Incentive-Based Selection and Composition of IoT Energy Services. https://arxiv.org/abs/2007.09985

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