scholarly journals Sequential fusion to defend against sensing data falsification attack for cognitive Internet of Things

ETRI Journal ◽  
2020 ◽  
Vol 42 (6) ◽  
pp. 976-986 ◽  
Author(s):  
Jun Wu ◽  
Cong Wang ◽  
Yue Yu ◽  
Tiecheng Song ◽  
Jing Hu
Keyword(s):  
Internet Of Things ◽  
Sensing Data ◽  
Cognitive Internet Of Things

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.

scholarly journals An Amateur Drone Surveillance System Based on the Cognitive Internet of Things

2018 ◽  
Vol 56 (1) ◽  
pp. 29-35 ◽  
Author(s):  
Guoru Ding ◽  
Qihui Wu ◽  
Linyuan Zhang ◽  
Yun Lin ◽  
Theodoros A. Tsiftsis ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Surveillance System ◽  
Cognitive Internet Of Things

An Overview of Cognitive Internet of Things

2021 ◽  
pp. 65-82
Author(s):  
Fariha Eusufzai ◽  
Tahmidul Haq ◽  
Sumit Chowdhury ◽  
Shohani Sahren ◽  
Saifur Rahman Sabuj
Keyword(s):  
Internet Of Things ◽  
Cognitive Internet Of Things

Rate satisfaction-based power allocation for NOMA-based cognitive Internet of Things

2020 ◽  
Vol 98 ◽  
pp. 102063
Author(s):  
Xin Liu ◽  
Hua Ding ◽  
Xueyan Zhang ◽  
Panpan Li ◽  
Celimuge Wu
Keyword(s):  
Internet Of Things ◽  
Power Allocation ◽  
Cognitive Internet Of Things

Edge Intelligence in the Cognitive Internet of Things: Improving Sensitivity and Interactivity

IEEE Network ◽  
2019 ◽  
Vol 33 (3) ◽  
pp. 58-64 ◽  
Author(s):  
Yin Zhang ◽  
Xiao Ma ◽  
Jing Zhang ◽  
M. Shamim Hossain ◽  
Ghulam Muhammad ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Cognitive Internet Of Things
Sign in / Sign up

Export Citation Format

Share Document