5g
Factories of the Future
Media & Entertainment
Smart Cities
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SME Opportunities
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Telecoms Providers
5G CAM
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Artificial Intelligence & Machine Learning
Artificial Intelligence & Machine Learning in big data
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Collaborative Classification and Models
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Collaboration Risk and Value Sharing
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5g
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Connectivity Technologies (Interfaces and Block Chain)
Hybrid S/T Communication and Navigation Platforms
IoT (Sensors, platforms)
Mobile
Physical Internet (PI)
Public key infrastructure (PKI)
Radio-frequency identification (RFID)

Big Data Management and Analytics

IoT Big Data Analytics

A successful Internet of Things (IoT) environment requires standardization that contains interoperability, compatibility, reliability, and effectiveness of the operations on a global scale. The rapid growth of the IoT causes a sharp growth of data. Enormous amounts of networking sensors are continuously collecting and transmitting data to be stored and processed in the cloud. Such data can be environmental data, geographical data, astronomical data, logistic data, and so on. Mobile devices, transportation facilities, public facilities, and home appliances are the primary data acquisition equipment in IoT. The volume of such data will surpass the capacities of the IT architectures and infrastructure of existing enterprises and, due to real time analysis character, will also greatly impact the computing capacity. Management of these increasingly growing data is a challenge for the community in general. Due to the generation of Big Data by IoT, the existing data processing capacity of IoT is becoming ineffective and it is imperative to incorporate Big Data technologies to promote the development of IoT. It is important to understand that the success of IoT lies upon the effective incorporation of Big Data analytics. The widespread deployment of IoT also given a challenge to Big Data community to propose that newer techniques as Big Data and IoT are interdependent. On one hand, the widespread deployment of IoT produces data both in quantity and category, thus providing the opportunity for the application and development of Big Data; on the other hand, the incorporation of Big Data analytics in IoT simultaneously accelerates the research advances and business models of IoT. The purpose of this special issue is to provide recent results and related surveys on IoT and big data analytics (also its applications).

 

Potential topics include but are not limited to the following:Architecture and Protocols for IoT and Big DataEnergy efficient IoT Big Data acquisition techniquesIoT Big Data storage and processing techniquesIoT and Big Data programming modelIoT Big Data analytic toolsMining IoT Big DataPrivacy and Security related to IoT and Big Data

 

Authors can submit their manuscripts through the Manuscript Tracking System at https://mts.hindawi.com/submit/journals/wcmc/iotb/. 

Submission Deadline Friday, 7 December 2018

Publication Date April 2019

Papers are published upon acceptance, regardless of the Special Issue publication date.

 

LeadGuest Editor

Salimur Choudhury, Lakehead University, Thunder Bay, Canada

 

Guest Editors
Qiang Ye, University of Prince Edward Island, Charlottetown, CanadaMianxiong Dong, Muroran Institute of Technology, Hokkaido, JapanQingchen Zhang, St. Francis Xavier University, Antigonish, Canada

Reference Link

Attached Documents

The “CHARIOT IoT Search Index” aims to provide a web location where publications, articles, and relevant documents can be centralized hosted in a well-structured and easily accessed way.

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