Energy efficient design techniques in next‐generation wireless communication networks: emerging trends and future directions

JO Ogbebor, AL Imoize… - … and mobile computing, 2020 - Wiley Online Library
The projected rise in wireless communication traffic has necessitated the advancement of
energy‐efficient (EE) techniques for the design of wireless communication systems, given …

Camaroptera: A long-range image sensor with local inference for remote sensing applications

H Desai, M Nardello, D Brunelli, B Lucia - ACM Transactions on …, 2022 - dl.acm.org
Batteryless image sensors present an opportunity for long-life, long-range sensor
deployments that require zero maintenance, and have low cost. Such deployments are …

Sweepcache: Intermittence-aware cache on the cheap

Y Zhou, J Zeng, J Jeong, J Choi, C Jung - … of the 56th Annual IEEE/ACM …, 2023 - dl.acm.org
This paper presents SweepCache, a new compiler/architecture co-design scheme that can
equip energy harvesting systems with a volatile cache in a performant yet lightweight way …

Write-light cache for energy harvesting systems

J Choi, J Zeng, D Lee, C Min, C Jung - Proceedings of the 50th Annual …, 2023 - dl.acm.org
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 …

ReplayCache: Enabling volatile cachesfor energy harvesting systems

J Zeng, J Choi, X Fu, AP Shreepathi, D Lee… - MICRO-54: 54th Annual …, 2021 - dl.acm.org
Energy harvesting systems have shown their unique benefit of ultra-long operation time
without maintenance and are expected to be more prevalent in the era of Internet of Things …

MOUSE: Inference in non-volatile memory for energy harvesting applications

S Resch, SK Khatamifard, ZI Chowdhury… - 2020 53rd Annual …, 2020 - ieeexplore.ieee.org
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 …

Adamica: Adaptive multicore intermittent computing

K Akhunov, KS Yildirim - Proceedings of the ACM on Interactive, Mobile …, 2022 - dl.acm.org
Recent studies on intermittent computing target single-core processors and underestimate
the efficient parallel execution of highly-parallelizable machine learning tasks. Even though …

NvMR: non-volatile memory renaming for intermittent computing

A Bhattacharyya, A Somashekhar… - Proceedings of the 49th …, 2022 - dl.acm.org
Intermittent systems on energy-harvesting devices have to frequently back up data because
of an unreliable energy supply to make forward progress. These devices come with non …

[HTML][HTML] Lure: A simulator for networks of batteryless intermittent nodes

ML Wymore, R Sahu, T Ruminski, V Deep… - Performance …, 2024 - Elsevier
The emerging paradigm of batteryless intermittent sensor networks (BISNs) presents new
challenges for researchers of low-power wireless systems and protocols. The nature of …

The what's next intermittent computing architecture

K Ganesan, J San Miguel… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Energy-harvesting devices operate under extremely tight energy constraints. Ensuring
forward progress under frequent power outages is paramount. Applications running on …