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Special Issue A&DC IoT 2019 : SENSORS (Q1) Special Issue: Algorithm and Distributed Computing for the Internet of Things | |||||||||||
Link: https://www.mdpi.com/journal/sensors/special_issues/Algorithm_and_Distributed_Computing_for_IoTs | |||||||||||
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Call For Papers | |||||||||||
A special issue of SENSORS
ISSN 1424-8220 Impact factor JCR: 2.677 This special issue belongs to the section "Sensor Networks". Dear Colleagues, 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 In this Special Issue, we seek original, unpublished high-quality articles, not currently under review by another conference or journal, clearly focused on theoretical and implementation solutions for IoT,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) - Security - Distributed and embedded computing for networked systems - Applications, deployment, and management - Human behavior and context-aware aspects - Prediction models - Optimization and metaheuristics Special Issue Editors Prof. Juan A. Gomez-Pulido Dep. of Tech. of Computers and Communications, University of Extremadura, Spain Prof. Jorge Sá Silva Dep. of Informatics Engineering, University of Coimbra, Portugal Prof. Takahiro Hara Dep. of Multimedia Engineering, Osaka University, Japan |
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