Computational Intelligence in Internet of Things

Dear Colleagues,

The vision of the Internet of Things appeared many years ago. In this context, the term "Thing" refers to a device, which is connected to the Internet and exchanges information with other devices. The term "cloud-based IoT" is used to describe the connection of a wide range of things (e.g., vehicles, mobile devices, wearable devices, sensors, etc.), in order to develop various smart systems (e.g., smart vehicles, smart homes, smart cities, smart farming, smart grids, etc.). It is a fact that IoT objects are increasing exponentially; in fact, the number of connected IoT objects is estimated by Cisco to reach 50 billion by 2020. The challenges in handling the vast volume of heterogeneous and often non-linearly correlated data produced by IoT objects mandate the use of modern efficient techniques. Computational Intelligence (CI) is the science of creating intelligent systems based on computational techniques and undoubtedly offers an arsenal of tools that can be customized to meet the ever-increasing and demanding needs of IoT applications. It is expected that CI and IoT will shape the Future Internet of Things (FIoT) in several ways.

The aim of this Special Issue is to bring together innovative developments in these fields, including advancements in intelligent algorithms, as well as succesfull applications in IoT. Papers addressing the wide range of aspects of this technology are sought, including, but not limited to:

• Biomedical methods for CI and IOT
• Biometric methods for CI and IOT
• CI methods for smart data storage
• CI methods in cloud-based IoT
• Evolutionary Computation in IoT
• Fuzzy Logic in IoT
• Handling Big Data using CI techniques
• Knowledge representation in IoT
• Machine Learning in IoT
• Nature-Inspired methods in IoT
• Neural Networks in IoT
• Swarm Intelligence in IoT

Dr. Grigorios E. Koulouras
Prof. Alex Alexandridis
Dr. Elias N. Zois
Guest Editors

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