Towards energy efficiency in the internet of wearable things: A systematic review

WB Qaim, A Ometov, A Molinaro, I Lener… - IEEE …, 2020 - ieeexplore.ieee.org
Personal mobile devices such as smartwatches, smart jewelry, and smart clothes have
launched a new trend in the Internet of Things (IoT) era, namely the Internet of Wearable …

Challenges of securing Internet of Things devices: A survey

MG Samaila, M Neto, DAB Fernandes… - Security and …, 2018 - Wiley Online Library
The current vision of the Internet of Things (IoT) is to ensure that everything from everywhere
is connected to the Internet at all times using Internet Protocol (IP). This idea has the …

TESLA: Traffic-aware elastic slotframe adjustment in TSCH networks

S Jeong, J Paek, HS Kim, S Bahk - IEEE Access, 2019 - ieeexplore.ieee.org
Low-power wireless network for the emerging Internet of Things (IoT) should be reliable
enough to satisfy the application requirements, and also energy-efficient for embedded …

System architecture directions for post-soc/32-bit networked sensors

HS Kim, MP Andersen, K Chen, S Kumar… - Proceedings of the 16th …, 2018 - dl.acm.org
The emergence of low-power 32-bit Systems-on-Chip (SoCs), which integrate a 32-bit MCU,
radio, and flash, presents an opportunity to re-examine design points and trade-offs at all …

AdaptaBLE: Adaptive control of data rate, transmission power, and connection interval in bluetooth low energy

E Park, MS Lee, HS Kim, S Bahk - Computer Networks, 2020 - Elsevier
This work investigates run-time parameter control for Bluetooth Low Energy (BLE), based on
the latest Bluetooth specification 5 released in 2016. Compared to the previous version …

BLE neighbor discovery parameter configuration for IoT applications

B Luo, F Xiang, Z Sun, Y Yao - IEEE Access, 2019 - ieeexplore.ieee.org
Since the Internet of Things (IoT) applications today employ many different sensors to
provide information, a large number of the Bluetooth low energy (BLE) devices will be …

Configuration-adaptive wireless visual sensing system with deep reinforcement learning

S Zhou, D Van Le, R Tan, JQ Yang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Visual sensing has been increasingly employed in various industrial applications including
manufacturing process monitoring and worker safety monitoring. This paper presents the …

BLEX: Flexible multi-connection scheduling for Bluetooth low energy

E Park, HS Kim, S Bahk - … of the 20th International Conference on …, 2021 - dl.acm.org
This work investigates a run-time scheduling system for Bluetooth Low Energy (BLE). The
Bluetooth specifications propose control of the anchor point (ie, start time of each connection …

Performance evaluation of time synchronization using current consumption pattern of BLE devices

FJ Dian, A Yousefi, K Somaratne - 2018 IEEE 8th Annual …, 2018 - ieeexplore.ieee.org
We previously showed that by detecting and analyzing the current pattern, a class of time
synchronization schemes can be devised for BLE. The purpose of this paper is to evaluate …

Energy efficient machine learning based SMART-A-BLE implemented wireless battery management system for both hybrid electric vehicles and battery electric …

S Pannerselvam, VA Narayanan, TG Kumar - Procedia Computer Science, 2023 - Elsevier
Electric vehicles have a larger battery pack with more than 100's cells connected in series or
parallel combinations to form many battery modules. A Battery Management system (BMS) …