Intelligent Systems in Sensor Networks and Internet of Things

Dear Colleagues,

In the last decade, the rapid developments in hardware, software, and communication technologies have facilitated the spread of sensors, actuators and heterogeneous devices connected via the Internet (referred to as the Internet of Things, IoT), which collect and exchange huge amounts of data to offer a new class of advanced services characterized by being available anywhere, at any time and to anyone. Nevertheless, without intelligence, the IoT systems and, in general, sensor networks (SN) can act only as ordinary information systems based on predefined rules. On the contrary, adding artificial intelligence (AI) to the mix may allow services to be provided according to users’ habits, activities, and real-world contexts. Combining AI with the IoT opens the world to unlimited technological potential.

The intelligent processing of IoT data, and the building of intelligent systems able to make autonomous decisions are the keys to developing smart IoT applications and services. The combination of different scientific fields that uses data mining (DM), machine learning (ML), and other AI techniques have proven to be effective in exploring and handling the huge amount of data generated by IoT systems and SNs. In addition, other intelligences based on heuristic approaches, such as simulated annealing, genetic algorithms, evolutionary algorithms, ant colony optimization, and particle swarm optimization, have also proven to be effective in making the IoT systems and SNs aware of events and contexts, especially when dealing with large amounts of incomplete or inconsistent data.

The central theme of this Special Issue is to investigate novel methodologies, theories, systems, and applications for the creation of such intelligence in IoT systems and SNs.

Topics of Interest:

This Special Issue aims to present the most important and relevant advances in creating high-performance and intelligent IoT systems and sensor networks.

We seek original and high quality submissions related to, but not limited to, one or more of the following topics:

• Data Mining for IoT and Sensor Networks
• Intelligent Data Analysis in IoT and Sensor Networks
• Intelligent Real-Time Data Processing of IoT and Sensor Networks
• Soft Computing Applications for IoT and Sensor Networks
• Machine-Learning and Artificial Intelligence for IoT and Sensors Networks
• Nature-Inspired Evolutionary Algorithms and Systems for Pattern Recognition, Data Analysis, and Modeling in IoT and Sensor Networks
• Heuristic Algorithms for IoT and Sensor Networks
• Pattern Recognition and Classification for Multivariate Time Series
• Intelligent Network Technologies for IoT and Sensor Networks
• Intelligent Applications of IoT and Sensor Networks
• Intelligent Decision-Making in IoT and Sensor Networks
• Algorithms and Optimization Technologies for IoT and Sensor Network Scenarios
• Adaptive Heterogeneous Sensor Networks
• Cognitive Applications and Intelligence in IoT and Sensor Networks
• Intelligent Intrusion Detection Techniques for IoT and Sensor Networks
• Disaster Recovery for IoT and Sensor Networks
• Learning from Data Streams in IoT and Sensor Networks
• Adaptive Quality of Service (QoS) Provisioning in IoT and Sensor Networks
• Deep Learning-Based Solutions for IoT Systems and Sensor Networks
• Applications and Use-Cases of Smart IoT Systems, and Real-Time Sensor Networks
• Distributed Computing Frameworks for IoT and Sensor Networks
• Tools and Frameworks for Designing, Deploying and Maintaining Intelligent IoT Infrastructure

Prof. Dr. Francesco Palmieri
Dr. Gianni D’Angelo
Dr. Chang Choi
Guest Editors

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