Advanced Architectures for IoT Scenarios

So-called IoT, based on use of enabling technologies like 5G, Wi-Fi, BT, NFC, RFID, IPv6 as well as being widely applied for sensor networks, robots, Wearable and Cyber-PHY, invades rapidly to our every day.The given paper is dedicated to the QoS for IoT problematics as well as to the analysis of the appropriate architectures for IoT. There are a lot of apps and software platforms to IoT support. However, a most important problem of QoS optimization is not yet solved. The extended Internet of the future needs these solutions based on the cooperation between fog and clouds with delegating of the analytics blocks via agents, adaptive interfaces and protocols.The next problem is as follows: IoTcan generate large arrays of unmanaged, weakly-structured, and non-configured data of various types, known as "Big Data". The given papers deal with the both problems. A special problem is Security and Privacy in potentially "dangerous" IoT-scenarios. Anyway, this subject needs as special discussion for risks evaluation and cooperative intrusion detection. Some advanced approaches for optimization of Performance, Reliability and Scalability for IoT-solutions are offered within the paper. The paper discusses the Best Practices and Case Studies aimed to solution of the established problems. Also proposed to use Machine Learning and Blockchain technologies to optimize traffic in network, andit allow us to divide dataset into several groups, which will allow us to better understand them. ML will help us to make this prediction. To provide the compulsoriness within the used workflow the Blockchain technology can be used and Blockchained IoT has to be created.