Opportunistic federated learning: An exploration of egocentric collaboration for pervasive computing applications
Pervasive computing applications commonly involve user's personal smartphones collecting
data to influence application behavior. Applications are often backed by models that learn …
data to influence application behavior. Applications are often backed by models that learn …
SociTrack: Infrastructure-free interaction tracking through mobile sensor networks
Social scientists, psychologists, and epidemiologists use empirical human interaction data to
research human behaviour, social bonding, and disease spread. Historically, systems …
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 …
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 …
modern applications cannot be imagined without the presence of a wireless sensor network …
Onboarding and software update architecture for IoT devices
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 …
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
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 …
Internet of Things applications. While years of low-power wireless research now allows …
SmartLOC: Indoor localization with smartphone anchors for on-demand delivery
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' …
groceries are delivered door to door from merchants to customers by the couriers. Couriers' …
Janus: Dual-radio accurate and energy-efficient proximity detection
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 …
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 …
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
Policy makers have implemented multiple non-pharmaceutical strategies to mitigate the
COVID-19 worldwide crisis. Interventions had the aim of reducing close proximity …
COVID-19 worldwide crisis. Interventions had the aim of reducing close proximity …
Scents: Collaborative sensing in proximity iot networks
Mobile applications commonly use on-device sensors to continuously provide context:
temperature, position, sound, etc. By collaborating to sense context, devices can save …
temperature, position, sound, etc. By collaborating to sense context, devices can save …