Intelligent IoT Systems

Dear Colleagues,

Internet of Things (IoT) systems are typically resource-constrained, networked, embedded systems that extend the reach of IP communication into the physical world, to billions of resource-constrained endpoints that are called ‘Things’. Things organize themselves into Internet-enabled networks and cooperate to realize a complex task. On top of their own resource limitations, Things are connected into resource-constrained access networks, with low power, lossy, low bitrate asymmetric links and limited group communication primitives.

The rise of the IoT as a technology is also timely and complementary to the realization of ubiquitous smart interaction of humans with networked embedded systems in “intelligent environments”, also known as “smart spaces”, which can do complex tasks for humans, e.g., as in intelligent lighting, smart homes, smart cities, smart buildings, smart healthcare, intelligent transportation systems, and Industry 4.0. Existing implementations of such intelligent IoT systems, however, are mainly limited to the scope of specific application silos, and technology experts play a significant part in the whole process. IoT networks are complex by nature due to distributed services on many heterogeneous devices collaboratively fulfilling common goals defined by applications. Therefore, it is crucial for society that (intelligent) IoT systems and the processes on them be well-understood, easily controlled, and optimized. Unfortunately, most of the current guidelines, architecture designs, protocols, and algorithms for IoT systems are limited in scope.

This must be addressed by building up theory and knowledge on IoT lifecycles (i.e., the series of stages IoT devices, services, and applications go through, from inception to decline) and by testing them in real settings. The objective of this Special Issue is to bring visibility to ongoing studies in the development of IoT systems (lifecycle management, architectures, protocols) and IoT intelligence (algorithms specifically tailored to and deployable on IoT systems). Researchers who are active in this field are invited to submit their manuscripts to this Special Issue.

Dr. Tanir Ozcelebi
Prof. Dr. Mehmet Can Vuran
Guest Editors

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