Mobile Networks and Applications - Big Data analytics for Smart Internet of Things in Vehicular Communications

Overview:

Big data refers a large set of data that cannot be handled with traditional computation methods. Big data research is characterized by voluminous and incremental datasets and complex data methods. Big data has become vital for public and private industries have been collecting massive amounts of information, which can contain useful information about problems such as ubiquitous data science, smart city initiative, telemedicine, privacy preserving data science, vehicular communication, and medical informatics. Big data and machine learning techniques can make sense of the data by exposing trends and designs. Machine learning techniques can quicken this process with the help of natural language generation algorithms. Big data and cognitive computation algorithms are useful for organizing, analysing, collecting, and integrating data for large organizations. They can be executed in all components of cognitive language and big data operation, including data classification, data segmentation, data analytics and various data simulations.

The rising complication and advancement in vehicular communications the development of big data technology and analysis methods offers unique opportunities for efficient urban expansion. This special issue discusses big data in internet of things and vehicular communications and its challenges and opportunities in urban planning, with a special focus on the modernization and mobility sectors. This special issue addresses the issues and challenges posed by several big data problems in vehicular communications and give an overview of the future research opportunities. This special issue is opened to submit high quality research contributions from wide range of professions including scholars, researchers, academicians, and Industry people. Original research papers and state of the art reviews will be accepted.

Topics

Topics of interest include, but are not limited to, the following scope:

Machine Learning for Data Analysis. Real-Time Ubiquitous Data Science  Signal Processing Architectures, Algorithms and Applications  Big Intelligence for Internet of Vehicle   Big Data Applications and urban planning Platform for Privacy Preserving Data Science Smart vehicle architecture for urban planning Big computing for Smart cities Urban computing and big data analytics Big data sensing and IOT frameworks and infrastructures

Big data infrastructures and warehouse for smart cities Sensor networks and data mining for vehicular communications Social computing big data and networks for smart cities Electricity and roadway networks integration in the smart city paradigm Interoperability between different systems and domains in the city Future Advancements.

Important Dates

Manuscript submission deadline: 22 May 2023

Notification of acceptance: 15 August 2023

Submission of final revised paper: 10 October 2023

Publication of special issue (tentative): 10 November 2023

Submission Procedure

Authors should follow the MONET Journal manuscript format described at the journal site.Manuscripts should be submitted on-line throughhttp://www.editorialmanager.com/mone/ (this opens in a new tab).

A copy of the manuscript should also be emailed to the Guest Editors at the following email address: anandakumar.psgtech@gmail.com (this opens in a new tab).

Guest Editors:

Dr. Anandakumar Haldorai, 
Department of Computer Science and Engineering, Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India.

Email: anandakumar.psgtech@gmail.com (this opens in a new tab)

Dr. Rita Zgheib,
Department of Computer Engineering and Computational Science, School of Engineering, Applied Science and Technology, Canadian University Dubai, United Arab Emirates.

Email: rita.zgheib@cud.ac.ae (this opens in a new tab)

Dr. Arulmurugan Ramu,

Professor, Department of Computer Science and Engineering, CMR University, Bengaluru, Karnataka, India.

Email: arulmr@gmail.com (this opens in a new tab)