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Special Issue "Internet of Things Middleware Platforms and Sensing Infrastructure"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: 15 March 2019

Special Issue Editors

Guest Editor
Dr. Charith Perera

School of Computing, Newcastle University, Newcastle upon Tyne, UK
Website | E-Mail
Interests: Internet of Things; Sensing as a Service; Privacy; Infrastructure and Architectures; Fog/Edge Computing
Guest Editor
Dr. Mahmoud Barhamgi

Laboratoire d'InfoRmatique en Image et Systèmes d'information, Claude Bernard Lyon 1 University, France
Website | E-Mail
Interests: Service Oriented Computing; Internet of Things; Privacy and Security
Guest Editor
Dr. Massimo Vecchio

Faculty of Enginnering , Università degli Studi eCampus, Italy
Website | E-Mail
Interests: Future Internet Technologies; Internet of Things; Computational Intelligence
Guest Editor
Prof. Dr. Júlio Cezar Estrella

Laboratory of DIstributed and Concurrent Programming, University of Sao Paulo, Brazil
Website | E-Mail
Interests: Internet of Things; Autonomic Computing; Cloud Computing; Service Oriented; Web Services Distributed Systems
Guest Editor
Dr. Kuo-Hui Yeh

Department of Information Management, National Dong Hwa University, Hualien, Taiwan
Website | E-Mail
Phone: +886-978965691
Interests: IoT (Internet of Things) security; big data and cloud computing; Android security and privacy; NFC/RFID application and security; network protocol and security

Special Issue Information

Dear Colleagues,

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
Guest Editors

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

Published Papers (1 paper)

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Open AccessArticle Extending QGroundControl for Automated Mission Planning of UAVs
Sensors 2018, 18(7), 2339; https://doi.org/10.3390/s18072339
Received: 15 June 2018 / Revised: 9 July 2018 / Accepted: 17 July 2018 / Published: 18 July 2018
PDF Full-text (23067 KB) | HTML Full-text | XML Full-text
Unmanned Aerial Vehicle (UAVs) have become very popular in the last decade due to some advantages such as strong terrain adaptation, low cost, zero casualties, and so on. One of the most interesting advances in this field is the automation of mission planning
[...] Read more.
Unmanned Aerial Vehicle (UAVs) have become very popular in the last decade due to some advantages such as strong terrain adaptation, low cost, zero casualties, and so on. One of the most interesting advances in this field is the automation of mission planning (task allocation) and real-time replanning, which are highly useful to increase the autonomy of the vehicle and reduce the operator workload. These automated mission planning and replanning systems require a Human Computer Interface (HCI) that facilitates the visualization and selection of plans that will be executed by the vehicles. In addition, most missions should be assessed before their real-life execution. This paper extends QGroundControl, an open-source simulation environment for flight control of multiple vehicles, by adding a mission designer that permits the operator to build complex missions with tasks and other scenario items; an interface for automated mission planning and replanning, which works as a test bed for different algorithms, and a Decision Support System (DSS) that helps the operator in the selection of the plan. In this work, a complete guide of these systems and some practical use cases are provided. Full article
(This article belongs to the Special Issue Internet of Things Middleware Platforms and Sensing Infrastructure)

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