Fluid Composition of Intermittent IoT Energy Services
Abdallah Lakhdari, Athman Bouguettaya
TL;DR
This paper introduces a fluid composition method for wireless energy services in IoT environments, optimizing service selection based on crowd mobility patterns to handle intermittency effectively.
Contribution
It presents a novel knapsack-based heuristic for fluidly composing IoT energy services considering their mobility-driven intermittent behavior.
Findings
The approach efficiently captures the intermittent nature of IoT energy services.
Experimental results show improved service composition efficiency.
Mobility patterns significantly influence energy service availability.
Abstract
We propose a novel fluid composition approach of wireless energy services in a crowdsourced IoT environment. The proposed approach selects an optimal set of dynamic energy services according to the consumer's requirements. We leverage the mobility patterns of the crowd in confined areas to capture the intermittent behavior of IoT energy services. We model the IoT energy services based on their mobility patterns to propose a knapsack-based heuristic for the fluid composition. Experimental results demonstrate the efficiency of the proposed approach.
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