Distributed Computing for the Internet of Things (IoT)

Dear Colleagues,

The Internet of Things (IoT) is a fundamental enabler of smart environments (i.e., smart homes, smart health, smart cities, and smart factories, etc.) and has evolved from sensor networks deployed in particular domains with specific applications in mind, to all types of connected devices which produce or process data, with the purpose of improving people’s quality of life. The IoT consists of millions of devices, from simple sensors with constrained resources and restricted networking capabilities to more complex and powerful devices, such as all-time connected wearables and smartphones that are connected using the Internet. While the concept of the IoT has been around for a long time, recent advances in a variety of distributed computing technologies, as well as in distributed data processing and large-scale data analytics, have made it a reality in rapidly emerging applications that require distributed computing. According to a study from the International Data Corporation (IDC), the number of connected IoT devices will exceed 41.6 billion by 2025, with data generated by these devices growing at a compound annual growth rate of 28.7% between 2018 and 2025. The next generation of distributed computing components, systems and platforms must be developed to be able to cope with vast quantities of heterogeneous data generated by IoT devices and to be able to integrate and scale the applications that run across them. This Special Issue covers the recent advances and most innovative approaches in distributed computing technologies for the IoT, in relation, but not limited, to the following topics and areas:

• Cloud, edge, fog and dew computing for the IoT;

• Communication and coordination protocols for the IoT;
• Big Data technologies and platforms for the IoT;
• Mobile crowdsensing on the IoT;
• Stream processing and reasoning on the IoT;
• Artificial Intelligence distributed solutions on the IoT;
• Linked data streams on the IoT;
• Models and protocols for distributed IoT systems;
• Knowledge graphs and data structures on the IoT;
• Distributed/decentralized Artificial Intelligence for the IoT;
• Interoperability and multi-domain integration on the IoT;
• Cross-domain and cross platform interoperability on the IoT;

• Semantic technologies and optimization for the IoT;

• Security and privacy best practices for the IoT;
• Data protection in distributed systems for the IoT;
• Distributed ledger technologies for the IoT;
• Architectures and distributed IoT platforms design;
• Distributed management systems for the IoT;
• Federated systems and distributed control for the IoT;
• Reliability and trustworthiness over distributed IoT systems;
• Applications and practical use cases for the IoT;
• Reference implementations and best practices for the IoT;
• Commercial solutions and large-scale IoT deployments.

Dr. Krešimir Pripužić
Dr. Martin Serrano
Guest Editors

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