Fluid Composition of Intermittent IoT Energy Services

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.

• Publication year

  2020

• Venue

  IEEE International Conference on Services Computing

• Publication date

  2020-08-03

• Fields of study

  Computer Science, Engineering, Environmental Science

• Identifiers
  DOI 10.1109/SCC49832.2020.00050arXiv 2008.00787
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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