Microcontroller unit-based wireless sensor network nodes: A review
In this paper, a detailed review of microcontroller unit (MCU)-based wireless sensor node
platforms from recently published research articles is presented. Despite numerous research …
platforms from recently published research articles is presented. Despite numerous research …
Green Internet of Things (GIoT): Applications, practices, awareness, and challenges
Internet of things (IoT) is one of key pillars in fifth generation (5G) and beyond 5G (B5G)
networks. It is estimated to have 42 billion IoT devices by the year 2025. Currently, carbon …
networks. It is estimated to have 42 billion IoT devices by the year 2025. Currently, carbon …
Evaluating the trade-offs between wireless security and performance in IoT networks: A case study of web applications in AI-driven home appliances
CU Asonze, OS Ogungbemi, FA Ezeugwa… - Available at SSRN …, 2024 - papers.ssrn.com
The integration of the Internet of Things (IoT) with artificial intelligence (AI) is transforming
home appliances into smarter, more responsive tools that enhance daily living. However …
home appliances into smarter, more responsive tools that enhance daily living. However …
Synchronization of chaotic artificial neurons and its application to secure image transmission under MQTT for IoT protocol
AM González-Zapata, E Tlelo-Cuautle, I Cruz-Vega… - Nonlinear …, 2021 - Springer
Artificial neurons are quite useful to generate chaotic behavior, and they can be
implemented on embedded systems like Raspberry Pi that include WiFi network …
implemented on embedded systems like Raspberry Pi that include WiFi network …
6LE-SDN: An edge-based software-defined network for Internet of Things
IPv6 over low-power wireless personal area network (6LoWPAN) has been widely used for
large-scale sensing and actuating purposes in the Internet of Things (IoT). Though …
large-scale sensing and actuating purposes in the Internet of Things (IoT). Though …
Train me if you can: Decentralized learning on the deep edge
The end of Moore's Law aligned with data privacy concerns is forcing machine learning (ML)
to shift from the cloud to the deep edge. In the next-generation ML systems, the inference …
to shift from the cloud to the deep edge. In the next-generation ML systems, the inference …
uTango: an open-source TEE for IoT devices
Security is one of the main challenges of the Internet of Things (IoT). IoT devices are mainly
powered by low-cost microcontrollers (MCUs) that typically lack basic hardware security …
powered by low-cost microcontrollers (MCUs) that typically lack basic hardware security …
Fac-v: An fpga-based aes coprocessor for risc-v
In the new Internet of Things (IoT) era, embedded Field-Programmable Gate Array (FPGA)
technology is enabling the deployment of custom-tailored embedded IoT solutions for …
technology is enabling the deployment of custom-tailored embedded IoT solutions for …
Stochastic modeling and analysis of the energy consumption of wireless sensor networks
Energy management in Wireless Sensor Networks (WSN) is a challenging problem that calls
for careful modeling and analysis. It is shown in the paper that the problem can be more …
for careful modeling and analysis. It is shown in the paper that the problem can be more …
Machine Learning Methods of IoT Security and Future Application: Machine Learning Methods of IoT Security and Future Application
A Ali, S Naeem, S Anam, MM Ahmed - Proceedings of the Pakistan …, 2022 - ppaspk.org
One of the technologies that are now expanding rapidly is called the Internet of Things (IoT).
It is a technology that enables billions of smart devices or things, collectively referred to as …
It is a technology that enables billions of smart devices or things, collectively referred to as …