Special Issue "Real-Time AI over IoT Data"
Deadline for manuscript submissions: 15 September 2019
Prof. Dr. Arkady Zaslavsky
Distributed Systems & Security, School of Information Technology, Faculty of Science Engineering & Built Environment, Deakin University, Melbourne Burwood Campus, 221 Burwood Highway, Burwood VIC 3125, Australia
Website | E-Mail
Interests: Internet of Things; context-awareness; mobile analytics; mobile agents; reasoning over IoT data streams; mobile computing
Dr. Sylvain Kubler
The Internet of Things (IoT) is a new internet evolution that involves connecting the billions of devices we refer to as smart things. The IoT offers enormous potential in delivering timely and accurate information that with relevant contextual information and intelligent processing can support business decisions. Another emerging area that complements the IoT and underpins its ability in delivering support for business decisions is artificial intelligence. Artificial intelligence (AI) is a branch of computer science that develops machines and software capable of reasoning, discovering meaning, learning and generalising past experience. AI coupled with real-time IoT data streams enables various forms of analytics ranging from predictive to prescriptive, a key element in supporting real-time business decisions. IoT data coupled with real-time AI underpins the ability to develop AI-based IoT ecosystem-wide awareness of everything that is happening, happened, or might happen within the system realm, whether that is processes, events, activities, locations, or preferences.
In order to realise the enormous potential offered by combining IoT and AI, AI-driven IoT solutions need to be developed to support the real-time needs of the IoT while providing support for context-aware predictive to prescriptive analytics and actuation. This MDPI Sensors Special Issue is currently open for submission and aims to bring together researchers and application developers working at the intersection of the IoT and AI to develop the next generation of AI techniques, algorithms and solutions to support real-time analytics and actuation over IoT data. We also welcome quality review articles that analyse the gap between the state-of-the-art and the state-of-the-practice in the above areas. Potential topics include, but are not limited to:
- Tools, services, technologies, algorithms and methods for real-time AI over IoT data
- Novel computing architectures (e.g. fog/edge/cloud) for supporting AI-driven analytics
- Techniques and frameworks for AI-driven IoT actuation
- Open issues, challenges, and future perspective at the intersection of AI and IoT
- Machine learning and simulation models for different IoT application domains
- Case studies of applications of AI over IoT data
- AI-enabled context- and situation-awareness in IoT
- Cognitive Internet of Things
- AI-driven privacy preservation in IoT
- AI-driven IoT advanced sensing
- Human, IoT and AI
- AI-driven trust and secure IoT systems/solutions
Application topics of interest that demonstrate real-time AI over IoT include but are not limited to
- Industry 4.0 use cases
- Digital agriculture use cases
- Smart cities use cases
- Digital supply chain
- Banking and finance
Prof. Dr. Arkady Zaslavsky
Dr. Prem Prakash Jayaraman
Dr. Sylvain Kubler
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. Sensors 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.