Special Issue "Context-Awareness in the Internet of Things"
Deadline for manuscript submissions: closed (31 July 2019).
Prof. Dr. Daniele Riboni
Dept. of Mathematics and Computer Science, University of Cagliari, Italy
Website | E-Mail
Interests: Sensor-based activity recognition, Hybrid activity recognition methods, Recognition of behavioral anomalies, Pervasive computing and context-awareness, Context modeling techniques, Privacy in location-based services, Privacy in pervasive computing
The emerging integration of objects able to sense, reason and communicate into people's daily lives is enabling a new generation of services, promising to assist users in a number of tasks. In order to be effective, these services must be aware of the user’s context, including not only his/her position, but also the current activity, situation, mood, social context, task and goals, just to name a few. Luckily, objects connected to the Internet of Things (IoT) provide extensive low-level data that can be mined for capturing a fine-grained picture of the user’s context. Integrating and mining IoT data for context-awareness is a hot research topic, which involve challenging issues regarding artificial intelligence, knowledge representation and reasoning, big data analysis, security, trust, ethics, and privacy. The goal of this Special Issue is to collect high-quality research outcomes that may advance the state of the art about context-awareness in IoT. Original, high quality contributions that have not yet been published, submitted, or are not currently under review by other journals or peer-reviewed conferences are sought. Topics of interest include, but are not limited to, the following topics:
- Statistical, symbolic, and hybrid methods for context-awareness based on sensor data
- Recognition of activities, moods, and social context in IoT
- Big data analysis for context awareness
- IoT-centered methods, applications and middlewares for context-awareness
- Security, privacy, trust, and ethical issues in context-awareness
Assoc. Prof. Dr. Daniele Riboni
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.
- Context-awareness in IoT
- Activity and mood recognition
- Big data analysis for context-awareness
- Security and privacy issues in context-awareness
- Sensor-based context modeling and reasoning