Fluid Composition of Intermittent IoT Energy Services

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.

arXiv comment9 pages, Accepted and to appear in 2020 IEEE International Conference on Services Computing (SCC). Content may change prior to final publication