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arXiv · 2111.07528

Composing Energy Services in a Crowdsourced IoT Environment

Abdallah Lakhdari·Athman Bouguettaya·Sajib Mistry·andAzadeh Ghari Neiat
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Abstract

We propose a novel framework for composing crowdsourced wireless energy services to satisfy users' energy requirements in a crowdsourced Internet of Things (IoT) environment. A new energy service model is designed to transform the harvested energy from IoT devices into crowdsourced services. We propose a new energy service composability model that considers the spatio-temporal aspects and the usage patterns of the IoT devices. A multiple local knapsack-based approach is developed to select an optimal set of partial energy services based on the deliverable energy capacity of IoT devices. We propose a heuristic-based composition approach using the temporal and energy capacity distributions of services. Experimental results demonstrate the effectiveness and efficiency of the proposed approach.

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Abdallah Lakhdari, Athman Bouguettaya, Sajib Mistry, andAzadeh Ghari Neiat. 2021-11-15. Composing Energy Services in a Crowdsourced IoT Environment. https://doi.org/10.1109/tsc.2020.2980258

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