Advanced Spatial Big Data Platforms for IoT Processing
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (20 August 2023) | Viewed by 412
Special Issue Editors
Interests: wireless networks; underwater sensor networks; opportunistic networks; cognitive radio networks; IoT; network security
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent past, Big Data has evolved at a very fast pace which has led to a speedy growth in the field of technology and business. This has largely affected and attracted the academia, industry, government, and other organizations. In addition, the IoT devices have played an important role in the collection of huge amounts of data and then processing them to come to specific conclusions. The data that is collected through these IoT devices is raw, and this must be converted and analysed to have a clear picture of the information received from these devices. Further, the spatial analysis of the obtained and converted data needs to be studied through examination, assessment, evaluation, and modelling of their features. This brings forth various challenges in the spatial analysis of big data for processing. Thus, this Special Issue is focussed towards providing novel/new works along with proper experimentation in the field of Big Data and Internet of Things (IoT).
Areas relevant to Big Data and IoT include, but are not limited to, big data; Internet of Things; data collection, data analysis and data presentation; computation and data-intensive applications, novel algorithms; spatial analysis of big data; big data processing from various sources.
This Special Issue will publish high-quality, original research papers, in the overlapping fields of:
- Computational Data Science;
- Big Data Analytics;
- Internet of Things;
- Industrial Internet of Things;
- Spatial/Geospatial data analytics;
- Data security mechanisms/protocols/algorithms;
- Artificial intelligence in data analytics;
- Machine learning and deep learning in data analytics.
Prof. Dr. Sanjay Kumar Dhurandher
Prof. Dr. Isaac Woungang
Guest Editors
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Keywords
- big data
- data science
- Internet of Things
- industrial Internet of Things
- data analytics
- modelling
- data analysis and performance evaluation
- security
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