Intermittent computing (ImC) refers to the scenario where periods of program execution are
separated by reboots. ImC systems are generally powered by energy-harvesting (EH) …

Energy harvesting system has huge potential to enable battery-less Internet of Things (IoT)
services. However, it has been designed without a cache due to the difficulty of crash …

We present the vision of BARNET (Backscattering Activity Recognition NEtwork of Tags), a
network of passive RF tags that use RF backscatter for tag-to-tag communication. BARNET …

Batteryless IoT devices powered through energy harvesting face a fundamental imbalance
between the potential volume of collected data and the amount of energy available for …

There is increasing demand to bring machine learning capabilities to low power devices. By
integrating the computational power of machine learning with the deployment capabilities of …

Beyond-edge devices can operate outside the reach of the power grid and without batteries.
Such devices can be deployed in large numbers in regions that are difficult to access. Using …

Energy harvesting systems have emerged as an alternative to battery-powered IoT devices.
The systems utilize a just-in-time checkpoint protocol that stores volatile states when a …

Energy harvesting creates an emerging intermittent computing paradigm but poses new
challenges for sophisticated applications such as intermittent deep neural network (DNN) …

Self-powered intermittent systems enable accumulative execution in unstable power
environments, where checkpointing is often adopted as a means to achieve data …

Self-powered intermittent systems typically adopt runtime checkpointing as a means to
accumulate computation progress across power cycles and recover system status from …