Opportunistic federated learning: An exploration of egocentric collaboration for pervasive computing applications

S Lee, X Zheng, J Hua, H Vikalo… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Pervasive computing applications commonly involve user's personal smartphones collecting
data to influence application behavior. Applications are often backed by models that learn …

SociTrack: Infrastructure-free interaction tracking through mobile sensor networks

A Biri, N Jackson, L Thiele, P Pannuto… - Proceedings of the 26th …, 2020 - dl.acm.org
Social scientists, psychologists, and epidemiologists use empirical human interaction data to
research human behaviour, social bonding, and disease spread. Historically, systems …

Hybrid Block‐Based Lightweight Machine Learning‐Based Predictive Models for Quality Preserving in the Internet of Things‐(IoT‐) Based Medical Images with …

VK Reshma, IR Khan… - Computational …, 2022 - Wiley Online Library
In the contemporary era of unprecedented innovations such as the Internet of Things (IoT),
modern applications cannot be imagined without the presence of a wireless sensor network …

Onboarding and software update architecture for IoT devices

H Gupta, PC Van Oorschot - 2019 17th International …, 2019 - ieeexplore.ieee.org
The vast number of in-use Internet of Things (IoT) devices is by consensus, expected to
continue rapid growth. These devices are subject to an expanding list of attacks that exploit …

BLEach: Exploiting the full potential of IPv6 over BLE in constrained embedded IoT devices

M Spörk, CA Boano, M Zimmerling… - Proceedings of the 15th …, 2017 - dl.acm.org
The ability to fine-tune communication performance is key to meeting the requirements of
Internet of Things applications. While years of low-power wireless research now allows …

SmartLOC: Indoor localization with smartphone anchors for on-demand delivery

Y Ding, D Jiang, Y Liu, D Zhang, T He - … of the ACM on Interactive, Mobile …, 2021 - dl.acm.org
On-demand delivery is a rapidly develo** business worldwide, where meals and
groceries are delivered door to door from merchants to customers by the couriers. Couriers' …

Janus: Dual-radio accurate and energy-efficient proximity detection

T Istomin, E Leoni, D Molteni, AL Murphy… - Proceedings of the …, 2021 - dl.acm.org
Proximity detection is at the core of several mobile and ubiquitous computing applications.
These include reactive use cases, eg, alerting individuals of hazards or interaction …

Multichannel neighbor discovery in Bluetooth low energy networks: Modeling and performance analysis

Z Shen, Q Yang, H Jiang - IEEE transactions on mobile …, 2021 - ieeexplore.ieee.org
Bluetooth Low Energy (BLE) has become one of the enabling wireless technologies to
facilitate the Internet of Things. Neighbor discovery is critical in BLE communications. BLE …

Measuring close proximity interactions in summer camps during the COVID-19 pandemic

E Leoni, G Cencetti, G Santin, T Istomin, D Molteni… - EPJ Data …, 2022 - epjds.epj.org
Policy makers have implemented multiple non-pharmaceutical strategies to mitigate the
COVID-19 worldwide crisis. Interventions had the aim of reducing close proximity …

Scents: Collaborative sensing in proximity iot networks

C Liu, J Hua, C Julien - 2019 IEEE International Conference on …, 2019 - ieeexplore.ieee.org
Mobile applications commonly use on-device sensors to continuously provide context:
temperature, position, sound, etc. By collaborating to sense context, devices can save …