The internet of Things (IoT) has improved contemporary manufacturing by creating a comprehensive information foundation for the associated industrial process. IoT strategies include data collecting, human-machine product interconnection, knowledge search and generation, and intelligent control procedures. In all of these procedures, signal processing is critical to the system's efficient operation. However, these signal processing approaches face enormous obstacles in today's complicated industrial context. As a result, this special issue focuses on algorithms that are inexpensive, fast, low power, and intelligent signal processing (ISP) in order to overcome the inherent limits of IoT devices.
Furthermore, we aim to broaden the scope of Internet Service Provider and its role in molding the IoT World by investigating the changing connection between ISP and the newly formed interdisciplinary fields of information science, deep learning, and artificial intelligence (AI), which use scientific techniques, procedures, algorithms, and systems to extract information and lessons from data in a variety of forms, both structured and unstructured.
Furthermore, sensing technology and semiconductors are critical sections for IoT system design, and the ever-increasing deployment of IoT in current business systems has enabled VLSI technology to accelerate the production of the most dependable business Internet of Things (IoT) solutions with extreme accessibility and small size. Thus, this issue encourages researchers from diverse domains to demonstrate their significant advances by offering their research articles, reviews, and perspectives on VLSI and microelectronic-embedded circuitry for IoT, which could undoubtedly bring multiple economic chances in thefuture.