  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.
