Special Issue "Algorithm and Distributed Computing for the Internet of Things"
Deadline for manuscript submissions: closed (10 April 2020).
Interests: optimization and computational intelligence; machine learning; reconfigurable computing and FPGAs; wireless communications; bioinformatics
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Interests: Internet of Things; wireless sensor networks; human in the loop cyberphysical systems
Interests: database systems; mobile computing; social computing; web mining; location privacy; time-series analysis
There is a growing interest in applying technologies, such as the Internet of Things (IoT), derived from the intense deployment of Wireless Sensor Networks (WSNs) during the last few decades, in relevant fields such as Industry 4.0, smart cities, and connected infrastructures. The use of IoT in these areas can lead to significant benefits, but it also generates a huge amount of data, which should be processed by a system to, in many cases, detect patterns or optimize certain processes of interest. To this end, big data, machine learning, and deep learning approaches are usually considered, leading to more complex and powerful systems than those of previous WSN applications, which also means new challenges to address. Moreover, for critical areas such as connected infrastructures, dependability, sustainability, and security issues should be addressed to ensure specific application requirements.
In this Special Issue, we seek original, unpublished high-quality articles, not currently under review by another conference or journal, clearly focused on theoretical and implementation solutions for IoT, including intelligent approaches (machine learning, big data, and deep learning), network levels (edge, fog, and cloud), embedded systems, sensing devices, nonfunctional requirements (dependability, security, and sustainability), deployment strategies, and management platforms.
Topics of Interest
Potential topics include, but are not limited to:
- Smart manufacturing and Industry 4.0
- Connected vehicles
- Smart cities
- Cognitive computing and deep learning
- Big data Processing
- Edge computing and network intelligence, bringing the computation closer to the data
- Dependability (real-time, reliability, availability, safety)
- Sustainability (low-power operation, energy management, energy harvesting)
- Distributed and embedded computing for networked systems
- Applications, deployment, and management
- Human behavior and context-aware aspects
- Prediction models
- Optimization and metaheuristics
Prof. Juan A. Gomez-Pulido
Prof. Jorge Sá Silva
Prof. Takahiro Hara
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 2000 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.