Special Issue "Embedded Intelligence in IoT Systems"
Deadline for manuscript submissions: 28 February 2022.
Interests: Internet of Things; fault-tolerant computing; software architecture; embedded software engineering; machine learning
Interests: software development; agile software engineering; internet technology; mobile; networks; distributed computing; real-time and embedded systems; cloud computing; service-oriented architecture; IT systems development
The interconnection of Internet of Things (IoT) devices has heralded automation and control solutions in almost all technology and non-technical fields. In healthcare, IoT devices are used to monitor and assess patient response to treatment in different environmental contexts on a global scale. In agriculture, the IoT is being used to develop smart early warning systems to monitor factors that adversely influence food production and crop yields such as diseases, adverse weather, politicoeconomic trends, natural disasters, and internal supply chains. In manufacturing, IoT sensor networks are used to collect critical production data, which are turned into valuable insights about the efficiency and resilience of the manufacturing operations. In smart cities, the IoT promises a future where driverless transport systems dynamically reorganise and re-route in anticipation to changing traffic demands and conditions. In smart living, IoT systems are learning from our behaviour and adapting our environments in real-time to our changing needs and circumstances. Almost all IoT implementations are now underpinned by some element of AI in the data analysis. AI enables IoT systems to extend their capability beyond things networks that are limited to the analysis of raw data, to systems that offer insights and predictability using the generated data—from assisted intelligence that analyses streams of data and to predict possible outcomes, to augmented intelligence that generates basic responses based on the analysis of data streams, to autonomous intelligence that is able to anticipate change and adapt its environment autonomously. This Special Issue will collect original research papers and novel insights into the modelling, design, implementation, testing and experience of using of AI-enabled IoT systems.
Prof. Dr. Gerald Kotonya
Prof. Dr. Muthu Ramachandran
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Internet of Things (IoT)
- machine learning
- smart systems