Göpfert, JohannesJohannesGöpfertZella, MatteoMatteoZellaMosavat, SayedsepehrSayedsepehrMosavatRenner, Bernd-ChristianBernd-ChristianRenner2026-03-102026-03-102025-0922nd International Conference on Embedded Wireless Systems and Networks, (EWSN 2025)https://hdl.handle.net/11420/61942In the era of ubiquitous Internet of Things (IoT) devices and wearable technology, the sustainable operation of battery-free systems solely powered by energy harvesting presents both opportunities and challenges. We introduce ScAlg, a decentralized algorithm that leverages wake-up radios to scatter the active times of battery-free devices in a network, ensuring continuous operation and enhanced dependability even with tight energy constraints. Our approach leverages intermittent computing principles to reduce redundant activities and improve energy efficiency. By conducting simulations and hardware experiments, we demonstrate the algorithm’s effectiveness. Although this is a work in progress, our findings show potential for strategic alignment of active times and intelligent task management in achieving sustainable, batteryless IoT systems capable of maintaining functionality in energy-variable environments.enBattery-free sensor networksDistributed sensingEmbedded systemsEnergy harvestingWake-up radiosComputer Science, Information and General Works::004: Computer SciencesWiP paper: scattering algorithm for continuous sensing in battery-free networksConference PaperConference Paper