Special Issue "Internet of Things Middleware Platforms and Sensing Infrastructure"
Deadline for manuscript submissions: 15 March 2019
Dr. Kuo-Hui Yeh
The Internet of Things (IoT) is a network of networks in which, typically, a massive number of objects/things/sensors/devices are connected through communications and information infrastructure to provide value-added services. Over the last few years, a large number of Internet of Things (IoT) solutions have come to the IoT marketplace. Typically, each of these IoT solutions is designed to perform a single or minimal number of tasks (primary usage). For example, a smart sprinkler may only be activated if the soil moisture level goes below a certain level in the garden. Further, smart plugs allow users to control electronic appliances (including legacy appliances) remotely or create automated schedules. Undoubtedly, such automation not only brings convenience to their owners but also reduces resource wastage. However, these IoT solutions act as independent systems. The data collected by each of these solutions is used by them and stored in access-controlled silos. After primary usage, data is either thrown away or locked down in independent data silos. We believe a significant amount of knowledge and insights are hidden in these data silos that can be used to improve our lives; such data includes our behaviours, habits, preferences, life patterns, and resource consumption.
To discover such knowledge, it is vital to develop efficient and effective end-to-end IoT architectures that can handle big data efficiently. IoT middleware platforms have been developed in both academic and industrial settings in order to facilitate IoT data management tasks including data analytics. However, the engineering of these general-purpose industrial-grade big data analytics platforms needs to address many challenges, as listed below, to be able to support data analytical needs in different types of IoT applications.
In addition to typical IoT-related research papers, this Special Issue specifically welcomes papers that discuss real world deployments and large IoT projects (EU projects and those on a similar scale).
Dr. Charith Perera
Dr. Mahmoud Barhamgi
Dr. Massimo Vecchio
Prof. Dr. Júlio Cezar Estrella
Dr. Kuo-Hui Yeh
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 monthly 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
- privacy and security
- interoperability and semantic technologies
- distributed data management
- scalable data analytics
- real world deployments
- case studies
- large IoT projects
- interdisciplinary IoT projects