Intermittent Computing On Batteryless IoT Devices Image

The shift from a cloud-centric to a thing/data-centric approach, embodied by the Internet of Things (IoT), has the potential to solve issues like latency, scalability, privacy, and security. The IoT market is projected to reach $4.5 trillion by 2035, covering industries from smart homes to environmental monitoring. Despite its growth, battery-powered IoT devices face limitations such as short lifespan, high cost, and environmental impact, with global battery disposal expected to hit 78 million units daily by 2025.

Innovations like batteryless devices using energy-harvested systems and Edge AI, endorsed by organizations like the NSF and the Department of Energy, can address these issues. Effective solutions will require rethinking conventional architectures, emphasizing Intelligent Elastic Intermittent Computation (EIC) devices. These devices promise to overcome the limitations of current IoT systems through advancements in energy-harvested, normally-off computing and intermittent-aware machine learning algorithms. The research aims to develop duty-cycle-variable computing to create sustainable and efficient IoT systems.

 

Supported by NSF.