scholarly journals Edge Computing in Internet of Things: A Novel Sensing-Data Reconstruction Algorithm Under Intelligent-Migratoin Stragegy

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 50696-50708
Author(s):  
Zeyu Sun ◽  
Xinyan Zhang ◽  
Tian Wang ◽  
Zhijian Wang
Keyword(s):  
Internet Of Things ◽  
Reconstruction Algorithm ◽  
Edge Computing ◽  
Data Reconstruction ◽  
Sensing Data

scholarly journals Editorial: Special Section on Pervasive Edge Computing for Industrial Internet of Things

2021 ◽  
Vol 17 (7) ◽  
pp. 5010-5011
Author(s):  
Zhaolong Ning ◽  
Edith Ngai ◽  
Ricky Y. K. Kwok ◽  
Mohammad S. Obaidat
Keyword(s):  
Internet Of Things ◽  
Special Section ◽  
Edge Computing ◽  
Industrial Internet Of Things ◽  
Industrial Internet

A Feasible Cellular Internet of Things: Enabling Edge Computing and the IoT in Dense Futuristic Cellular Networks

2017 ◽  
Vol 6 (1) ◽  
pp. 66-72 ◽  
Author(s):  
Sreekanth Dama ◽  
Valin Sathya ◽  
Kiran Kuchi ◽  
Thomas Valerrian Pasca
Keyword(s):  
Internet Of Things ◽  
Cellular Networks ◽  
Edge Computing

Coding Algorithms and Network Plan for Context-Aware Data Collection Based on Internet of Things in Large Marine Ships

2014 ◽  
Vol 701-702 ◽  
pp. 957-960
Author(s):  
Feng Xie
Keyword(s):  
Internet Of Things ◽  
Formal Analysis ◽  
Cluster Head ◽  
Communication Overhead ◽  
Context Aware ◽  
Sensing Data ◽  
Communication Efficiency ◽  
Data Volume ◽  
Using Data ◽  
Data Context

The equipment maintenance in large marine ships may rely on Internet of Things to provide monitoring of equipment status instantly. The data volume of sensing data is huge as the number of equipments is large. It is critical to decrease the communication overhead of uploading sensing data for efficiently and timely monitoring. In this paper, we propose several coding algorithms by using data context that is modeled by our normal forms on the base of our observations. The communication efficiency is improved, which is justified by formal analysis and rigorous proof. We also propose several network plan policies for further improvement of the communication efficiency by using data context and cluster head deployment.

Traffic Flow Data Collection and Signal Control System Based on Internet of Things and Cloud Computing

2013 ◽  
Vol 846-847 ◽  
pp. 1608-1611 ◽  
Author(s):  
Hui Jie Ding
Keyword(s):  
Cloud Computing ◽  
Control System ◽  
Data Collection ◽  
Internet Of Things ◽  
Traffic Flow ◽  
Signal Control ◽  
Traffic Signal Control ◽  
Flow Data ◽  
Traffic Jam ◽  
Sensing Data

As more and more cars are in service, the traffic jam becomes a serious problem in our society. At the same time, more and more sensors make the cars more and more intelligent, and this promotes the development of Internet of things. Real time monitoring the cars will produce massive sensing data, the Cloud computing gives us a good manner to solve this problem. In this paper, we propose a traffic flow data collection and traffic signal control system based on Internet of things and the Cloud computing. The proposed system contains two main parts, sensing data collection and traffic status control subsystem.

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