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ENSsys '24: Proceedings of the 12th International Workshop on Energy Harvesting and Energy-Neutral Sensing Systems
ACM2024 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
SenSys '24: The 22nd ACM Conference on Embedded Networked Sensor Systems Hangzhou China November 4 - 7, 2024
ISBN:
979-8-4007-1296-8
Published:
14 November 2024
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Abstract

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research-article
Self-Powered Visible Light Communication for Batteryless IoT via Vibration Energy Harvesting

In this paper, we investigate a case towards the emerging Internet of Batteryless Things by leveraging the latest advances in energy harvesting for self-powered computing. We present the design and implementation of a self-powered IoT system for ...

research-article
Open Access
A Survey of Prototyping Platforms for Intermittent Computing Research

Batteryless energy harvesting platforms are gaining popularity as a way to bring next-generation sensing and edge computing devices to deployments previously limited by their need for batteries. Energy harvesting enables perpetual, maintenance-free ...

research-article
Open Access
Attendance Tracking System using Many Battery-free Photovoltaic Bluetooth Beacon Badges

The concept of ambient IoT was introduced by 3GPP to describe low-cost, self-powered, or battery-free sensor nodes, which may reach up to 10 trillion units in the future. By replacing chemical batteries in many standalone IoT devices, we can achieve ...

research-article
A Resilient ReRAM crossbar-based PIM Design for SNN in Energy Harvesting Scenarios

For edge IoT devices, ambient energy harvesting offers a batteryless energy solution by collecting environmental energy. When using a ReRAM crossbar to simulate spiking neural networks (SNNs), a single ReRAM crossbar is often not capable of simulating ...

research-article
Open Access
EXTREMIS: Static Frequency Switching for Battery-less Devices

We present EXTREMIS, a compile-time pipeline that improves energy consumption of battery-less devices by ensuring that memory operations occur at the most efficient device frequency setting. Different memory operations incur different energy consumption ...

research-article
Open Access
Selective Data Protection for Energy-Efficient Deep Neural Network Inference in Intermittent IoT Systems

Intermittent computing systems allow devices to operate under unstable and weak power conditions. When a device performing long tasks is interrupted due to power instability, a checkpoint mechanism is used to save data to non-volatile memory before the ...

research-article
Open Access
On Tracking Time with Better Resolution and Range in Batteryless Systems

Accurate and failure-resilient timekeeping is crucial for time-sensitive sensing operations and task scheduling in batteryless systems. The main challenge lies in measuring the duration of power failures precisely. Remanence timekeepers offer a simple ...

short-paper
LIGHTED: a Multi-energy Harvesting Testbed

Energy harvesting techniques can lead to a more sustainable operation of low-powered IoT devices, i.e., they can operate batteryless, have a low CO2 footprint, and are easily maintained (no battery replacement). With that in mind, we propose LIGHTED, a ...

short-paper
A Configurable Harvester Emulator for Intermittent Systems

To reduce battery maintenance costs and environmental impact, there is a growing interest in harvesting energy for IoT networks. Evaluating intermittent software in a large, distributed network is challenging due to the variable efficiency of energy ...

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Acceptance Rates

ENSsys '24 Paper Acceptance Rate 9 of 9 submissions, 100%;
Overall Acceptance Rate 21 of 29 submissions, 72%
YearSubmittedAcceptedRate
ENSsys '2499100%
ENSSys '13201260%
Overall292172%