[AISWorld] CFP- Connection Science- SI: Intelligent Data Analytics for Internet of Underwater Things

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Special Issue on  "Intelligent Data Analytics for Internet of Underwater Things"
Connection Science, Taylor & Francis
SI link: https://think.taylorandfrancis.com/special_issues/connection-science-intelligent-data-analytics/?utm_source=TFO&utm_medium=cms&utm_campaign=JPC13858

Water bodies including oceans and lakes cover one-third of the earth's surface. Due to the frequent changes in the underwater environment like ocean temperature, carbon sink, sea-level rise, coastal erosion, etc., incorporating periodic monitoring of change detection is essential. The recent advances in wireless sensing technologies have made considerable changes in the exploration and monitoring of underwater resources. This includes interconnecting the Internet of Things (IoT) with underwater objects which leads to a new paradigm called the Internet of Underwater Things (IoUT). Using IoUT a network of physical devices is created which enables underwater data collection with improved communication. The data sensed through various devices are analyzed and used for research, and decision-making in many fields such as defense, coastal environment protection, consumer market, fishing & aquaculture industry. However, to support the IoUT concept, an effective underwater wireless sensor network system should be equipped with sensor nodes and smart sensing devices. Some of the smart interconnected underwater objects that can be employed for data analytics are from autonomous underwater vehicles, navigation ships, buoys, underwater robots, etc.

The management of an extensive amount of raw data sensed by the underwater objects is to be analyzed. Also, the data generated from the underwater objects are real-time, which increases implemental difficulties for analyzing the data due to its enormous volume and variety. Combining IoUT and data analytics provides potential growth in monitoring underwater by consistently giving insightful calculations for a variety of data. With the continuous increase of real-time and heterogeneous data, the analysis process becomes crucial in case of accurate prediction. Also, there may be sensitive information which is to be analyzed in the process and can end up in irreversible damages to the existing system and environment. Using the intelligent application with IoUT overcomes problems related to sensitive information and other prerequisites. Since Intelligent Data Analytics is an interdisciplinary study concerned with intelligent analysis of huge data, it provides a timely prediction for any critical underwater situation. Furthermore, Intelligent Data Analytics also extracts necessary data captured by the IoUT based sensors and helps in identifying insightful information. Such insightful information is powerful for underwater researchers, government & non-governmental organizations, and professionals actively seeking to better manage underwater resources.

This special issue on "Intelligent Data Analytics for Internet of Underwater Things" will independently focus on providing an arena to share the authentic works related to the intelligent data analytic methods, techniques and technologies with application of internet of underwater things.

Topics of interest include but are not restricted to:
Intelligent data analytics architecture for the Internet of Underwater Things
Intelligent Control Algorithm and Dynamic Management Scheme for Underwater IoT Applications
Future Intelligent Underwater Network and System Architectures
Artificial Life and Swarm Intelligence for Underwater Applications
Intelligent Learning approaches for modeling of Internet of Underwater Things applications
AI and Big data analytics for Internet of Underwater Things
A Study of Intelligent Techniques for Control of Underwater Disasters
Intelligent prediction models for the near-future Internet of Underwater Things
AI Technology for Underwater Robots
Intelligent Search and Optimization Methods in Underwater Applications
Recent Advances in Intelligent Data Analytics and Internet of Underwater Things
Privacy-Preserving and Security Approaches for Intelligent Data Analytics
Intelligent Sensing, Data Interpretation, and Interpretation of Data from Multiple IoUT Sources

Dates
Manuscript Submission Deadline Date: 31st August, 2020 
Authors Notification Date: 28th November, 2020 
Revised Papers Due Date: 27th December, 2020 
Final notification Date: 28th February, 2021

For further details on the submission process, please see the instructions for authors at
https://www.tandfonline.com/action/authorSubmission?show=instructions&journalCode=ccos20


Special Issue Editor(s)
Dr. Oscar Sanjuán Martínez, Universidad Internacional de la Rioja (UNIR), Oscar.sanjuan at ieee.org
Giuseppe Fenza, University of Salerno, gfenza at unisa.it
Ruben Gonzalez Crespo, Universidad Internacional de la Rioja (UNIR), ruben.gonzalez at unir.net