# Elastic Composition of Crowdsourced IoT Energy Services

arXiv: https://arxiv.org/abs/2011.06771 · HTML: https://mlsanity.com/paper/2011.06771/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 13 Nov 2020.

## Built on by (most cited first, 2 of 2)

- [Reinforcement Learning Controlled Adaptive PSO for Task Offloading in IIoT Edge Computing](https://mlsanity.com/paper/2501.15203/) (2025)
- [Energy Loss Prediction in IoT Energy Services](https://mlsanity.com/paper/2305.10238/) (2023)

## Abstract (arXiv)

We propose a novel type of service composition, called elastic composition which provides a reliable framework in a highly fluctuating IoT energy provisioning settings. We rely on crowdsourcing IoT energy (e.g., wearables) to provide wireless energy to nearby devices. We introduce the concepts of soft deadline and hard deadline as key criteria to cater for an elastic composition framework. We conduct a set of experiments on real-world datasets to assess the efficiency of the proposed approach.