Digital twin in the IoT context: A survey on technical features, scenarios, and architectural models

R Minerva, GM Lee, N Crespi - Proceedings of the IEEE, 2020 - ieeexplore.ieee.org
Digital twin (DT) is an emerging concept that is gaining attention in various industries. It
refers to the ability to clone a physical object (PO) into a software counterpart. The …

Game theory in mobile crowdsensing: A comprehensive survey

VS Dasari, B Kantarci, M Pouryazdan, L Foschini… - Sensors, 2020 - mdpi.com
Mobile CrowdSensing (MCS) is an emerging paradigm in the distributed acquisition of smart
city and Internet of Things (IoT) data. MCS requires large number of users to enable access …

OFDMA backoff control scheme for improving channel efficiency in the dynamic network environment of IEEE 802.11 ax WLANs

Y Kim, L Kwon, EC Park - Sensors, 2021 - mdpi.com
IEEE 802.11 ax uplink orthogonal frequency division multiple access (OFDMA)-based
random access (UORA) is a new feature for random channel access in wireless local area …

[HTML][HTML] Green Bear-A LoRaWAN-based Human-in-the-Loop case-study for sustainable cities

OT Sanchez, JM Fernandes, A Rodrigues… - Pervasive and Mobile …, 2022 - Elsevier
Citizens are a crucial factor in the sustainability of the cities because they are one of the
pillars for balancing their environment. Smart city projects can offer citizens an opportunity to …

Patient privacy violation detection in healthcare critical infrastructures: an investigation using density-based benchmarking

W Hurst, A Boddy, M Merabti, N Shone - Future Internet, 2020 - mdpi.com
Hospital critical infrastructures have a distinct threat vector, due to (i) a dependence on
legacy software;(ii) the vast levels of interconnected medical devices;(iii) the use of multiple …

Quality estimation for scarce scenarios within mobile crowdsensing systems

SB Azmy, N Zorba… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Mobile crowdsensing (MCS) is a paradigm that exploits the presence of a crowd of moving
human participants to acquire, or generate, data from their environment. As a part of the …

Overlapping Coalition Formation Game via Multi-Objective Optimization for Crowdsensing Task Allocation

Y Fu, X Liu, W Han, S Lu, J Chen, T Tang - Electronics, 2023 - mdpi.com
With the rapid development of sensor technology and mobile services, the service model of
mobile crowd sensing (MCS) has emerged. In this model, user groups perceive data through …

A distributed IoT system for modelling dynamics in smart environments

B Radenković, M Despotović-Zrakić… - 2020 International …, 2020 - ieeexplore.ieee.org
This paper studies the possibilities of fusing the concepts of smart environments and
continuous and discrete systems simulation into a single system where identification of …

Nadal: A neighbor-aware deep learning approach for inferring interpersonal trust using smartphone data

GF Bati, VK Singh - Computers, 2020 - mdpi.com
Interpersonal trust mediates multiple socio-technical systems and has implications for
personal and societal well-being. Consequently, it is crucial to devise novel machine …

Collision-Based Up-Link OFDMA Random Access Mechanism for Wi-Fi 6

A Rehman, FB Hussain, R Ali, T Khurshaid - IEEE Access, 2023 - ieeexplore.ieee.org
The IEEE 802.11 ax standard defines High-Efficiency WLAN (HEW), which is known as 6th
Generation Wi-Fi (Wi-Fi 6) network. HEW uses an up-link OFDMA-based Random Access …