Industrial IoT Systems and Networks

Dear Colleagues,

IoT architectures and the communication networks that support them have evolved considerably over the last decade. However, they still face significant challenges and difficulties in several areas. From the point of view of operational and system requirements, we face challenges such as scalability, interoperability, security, and low latency. From a data perspective, we face the integration of data and the transformation of raw data into business value. And in terms of networks, in environments where deterministic behavior is required, latency and jitter are parameters that must be satisfied, and this is complicated by the heterogeneity of the networks used, which are in many cases wireless, where packet loss and communication delays are common problems. On the other hand, the spread of IoT technology, together with the integration of artificial intelligence (AI), has given rise to AIoT, which is also applicable in the industrial field. AIoT-based smart sensors enable the development of methods for learning, prediction, and local control, reducing latency and increasing security and privacy. However, as the processing capacity of these nodes is limited, systems must provide task offloading methodologies so that task requirements are met at one of the Edge/fog/cloud levels of the designed AIoT architecture. Another equally important aspect in this field is environmental sustainability, as a reduction in energy consumption and enhanced cybersecurity must be achieved, given that the dispersion of nodes in the area of application must not compromise the overall security of user companies. 

Prof. Dr. Javier Silvestre-Blanes
Dr. Hussain Al-Aqrabi
Guest Editors

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