Machine learning based indoor localization using Wi-Fi RSSI fingerprints: An overview

N Singh, S Choe, R Punmiya - IEEE access, 2021 - ieeexplore.ieee.org
In the era of the Internet of Things (IoT) and Industry 4.0, the indoor usage of smart devices is
expected to increase, thereby making their location information more important. Based on …

Reinforcement learning for predictive maintenance: A systematic technical review

R Siraskar, S Kumar, S Patil, A Bongale… - Artificial Intelligence …, 2023 - Springer
The manufacturing world is subject to ever-increasing cost optimization pressures.
Maintenance adds to cost and disrupts production; optimized maintenance is therefore of …

Blockchain for the Internet of Vehicles: How to use blockchain to secure vehicle-to-everything (V2X) communication and payment?

R Jabbar, N Fetais, M Kharbeche… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
As the Internet of Things (IoT) is evolving, one of its rapidly developing components is the
transformation of standard Vehicle Ad-hoc Networks (VANETs) into the Internet of Vehicles …

Security and privacy requirements for the internet of things: A survey

N Alhirabi, O Rana, C Perera - ACM Transactions on Internet of Things, 2021 - dl.acm.org
The design and development process for internet of things (IoT) applications is more
complicated than that for desktop, mobile, or web applications. First, IoT applications require …

A survey on evaluating the quality of autonomic internet of things applications

K Fizza, A Banerjee, PP Jayaraman… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
The rapid evolution of the Internet of Things (IoT) facilitates the development of IoT
applications in domains such as manufacturing, smart cities, retail, agriculture, etc. Such IoT …

BMDD: a novel approach for IoT platform (broker-less and microservice architecture, decentralized identity, and dynamic transmission messages)

LTT Nguyen, SX Ha, TH Le, HH Luong, KH Vo… - PeerJ Computer …, 2022 - peerj.com
Abstract Undeniably, Internet of Things (IoT) devices are gradually getting better over time;
and IoT-based systems play a significant role in our lives. The pervasiveness of the new …

Spike encoding techniques for IoT time-varying signals benchmarked on a neuromorphic classification task

E Forno, V Fra, R Pignari, E Macii… - Frontiers in Neuroscience, 2022 - frontiersin.org
Spiking Neural Networks (SNNs), known for their potential to enable low energy
consumption and computational cost, can bring significant advantages to the realm of …

[HTML][HTML] Anomaly-based cyberattacks detection for smart homes: A systematic literature review

JII Araya, H Rifà-Pous - Internet of Things, 2023 - Elsevier
Smart homes, leveraging IoT technology to interconnect various devices and appliances to
the internet, enable remote monitoring, automation, and control. However, collecting …

Survey on Unified Threat Management (UTM) Systems for Home Networks

A Siddiqui, BP Rimal, M Reisslein… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Home networks increasingly support important networked applications with limited
professional network administration support, while sophisticated attacks pose enormous …

[HTML][HTML] Energy-conscious optimization of edge computing through deep reinforcement learning and two-phase immersion cooling

S Pérez, P Arroba, JM Moya - Future Generation Computer Systems, 2021 - Elsevier
Until now, the reigning computing paradigm has been Cloud Computing, whose facilities
concentrate in large and remote areas. Novel data-intensive services with critical latency …