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Chapter and Conference Paper
Towards Detection of Anomalies in Automated Guided Vehicles Based on Telemetry Data
The rapid evolution of smart manufacturing and the pivotal role of Automated Guided Vehicles (AGVs) in enhancing operational efficiency, underscore the necessity for robust anomaly detection mechanisms. This p...
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Chapter and Conference Paper
Resource Consumption of Federated Learning Approach Applied on Edge IoT Devices in the AGV Environment
Federated learning is a distributed machine learning method that is well-suited for the Industrial Internet of Things (IIoT) as it enables the training of machine learning models on distributed datasets. One o...
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Chapter and Conference Paper
Metaverse of Things in 6G Era: An Emerging Fusion of IoT, XR, Edge AI and Blockchain Technologies
An emerging future networks will be driven by the deep integration of the Internet of Things (IoT), artificial intelligence (AI) and blockchain technologies. With the enhanced capabilities of the 5G mobile net...
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Chapter and Conference Paper
Federated Learning for Anomaly Detection in Industrial IoT-enabled Production Environment Supported by Autonomous Guided Vehicles
Intelligent production requires maximum downtime avoidance since downtimes lead to economic loss. Thus, Industry 4.0 (today’s IoT-driven industrial revolution) is aimed at automated production with real-time d...
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Chapter and Conference Paper
On-Edge Aggregation Strategies over Industrial Data Produced by Autonomous Guided Vehicles
Industrial IoT systems, such as those based on Autonomous Guided Vehicles (AGV), often generate a massive volume of data that needs to be processed and sent over to the cloud or private data centers. The prese...
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Chapter and Conference Paper
AI-Enabled Blockchain Framework for Dynamic Spectrum Management in Multi-operator 6G Networks
A smart architectural design in 5G with flexibility for various deployment scenarios and service requirements has enabled different business models for mobile network operators in both nationwide and local sc...
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Chapter
Energy Efficiency for IoT
The given paper is aimed to investigation of the energy efficiency issues for IoT solutions, based on combined sensor and contactless systems. The combined energy-efficient solutions are namely the hierarchica...
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Chapter and Conference Paper
From Big Data to Smart Data: The Most Effective Approaches for Data Analytics
Cyber-PHY, IoT, sensor networks, Robotics (thick and server-less mobile applications), real-time network applications (thin clouds clients) can generate large arrays of unmanaged, weakly structured, and non-co...
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Chapter and Conference Paper
5G Slicing and Handover Scenarios: Compulsoriness and Machine Learning
In the given paper the backgrounds for the deployment of 5G in EU countries are discussed. The most important requirements for 5G networks are examined like slicing, wide network inter-operability (with Wi-Fi ...
