On the Delay of Finite Buffered Multi-Hop Relay Wireless Internet of Things

2019 ◽  
Author(s):  
Ahmed ElSamadouny ◽  
Mazen Hasna ◽  
Tamer Khattab ◽  
Khalid Abualsaud ◽  
Elias Yaacoub
Keyword(s):  
Internet Of Things ◽  
Wireless Internet

scholarly journals Reinforcement and deep reinforcement learning for wireless Internet of Things: A survey

2021 ◽  
Author(s):  
Mohamed Said Frikha ◽  
Sonia Mettali Gammar ◽  
Abdelkader Lahmadi ◽  
Laurent Andrey
Keyword(s):  
Reinforcement Learning ◽  
Internet Of Things ◽  
Wireless Internet

A strategy for opportunistic cognitive channel allocation in wireless Internet of Things

2014 ◽  
Author(s):  
Roni F. Shigueta ◽  
Mauro Fonseca ◽  
Aline Carneiro Viana ◽  
Artur Ziviani ◽  
Anelise Munaretto
Keyword(s):  
Internet Of Things ◽  
Channel Allocation ◽  
Wireless Internet

Spectrum coordination for intelligent wireless Internet of Things networks

2017 ◽  
Author(s):  
Zorica Nikolic ◽  
Milorad Tosic ◽  
Nenad Milosevic ◽  
Valentina Nejkovic ◽  
Filip Jelenkovic
Keyword(s):  
Internet Of Things ◽  
Wireless Internet

scholarly journals ARS: Adaptive Robust Synchronization for Underground Coal Wireless Internet of Things

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4981
Author(s):  
Kuiyuan Zhang ◽  
Mingzhi Pang ◽  
Yuqing Yin ◽  
Shouwan Gao ◽  
Pengpeng Chen
Keyword(s):  
Internet Of Things ◽  
Clock Synchronization ◽  
Sampling Period ◽  
Upper And Lower Bounds ◽  
Communication Overhead ◽  
Wireless Internet ◽  
Robust Synchronization ◽  
Time Stamps ◽  
Communication Links ◽  
Incomplete Measurement

Clock synchronization is still a vital and challenging task for underground coal wireless internet of things (IoT) due to the uncertainty of underground environment and unreliability of communication links. Instead of considering on-demand driven clock synchronization, this paper proposes a novel Adaptive Robust Synchronization (ARS) scheme with packets loss for mine wireless environment. A clock synchronization framework that is based on Kalman filtering is first proposed, which can adaptively adjust the sampling period of each clock and reduce the communication overhead in single-hop networks. The proposed scheme also solves the problem of outliers in data packets with time-stamps. In addition, this paper extends the ARS algorithm to multi-hop networks. Additionally, the upper and lower bounds of error covariance expectation are analyzed in the case of incomplete measurement. Extensive simulations are conducted in order to evaluate the performance. In the simulation environment, the clock accuracy of ARS algorithm is improved by 7.85% when compared with previous studies for single-hop networks. For multi-hop networks, the proposed scheme improves the accuracy by 12.56%. The results show that the proposed algorithm has high scalability, robustness, and accuracy, and can quickly adapt to different clock accuracy requirements.

scholarly journals Blockchain-Enabled Wireless Internet of Things: Performance Analysis and Optimal Communication Node Deployment

2019 ◽  
Vol 6 (3) ◽  
pp. 5791-5802 ◽  
Author(s):  
Yao Sun ◽  
Lei Zhang ◽  
Gang Feng ◽  
Bowen Yang ◽  
Bin Cao ◽  
...  
Keyword(s):  
Performance Analysis ◽  
Internet Of Things ◽  
Wireless Internet ◽  
Node Deployment

scholarly journals A Wireless Internet of Things Architecture Based on Mobile Internet

2017 ◽  
Vol 13 (10) ◽  
pp. 132
Author(s):  
Bing Zhou
Keyword(s):  
Internet Of Things ◽  
Database System ◽  
Content Management ◽  
Mobile Internet ◽  
System Response ◽  
The Internet ◽  
Wireless Internet ◽  
Management Platform ◽  
Internet Of Things Technology ◽  
The Internet Of Things

<p><span style="font-size: small;"><span style="font-family: Times New Roman;">In order to develop a valid wireless Internet of things system, a wireless Internet of things framework based on mobile Internet is designed. The architecture of the Internet of things determines the architecture of the Internet of things business platform. There is no uniform standard for the architecture of the Internet of things service platform. The Internet of things business platform is mostly in an isolated state. The platform uses the common information management platform of Internet websites to manage mobile internet. Combined with the technologies of perception, identification and network transmission in the Internet of things technology, it is a content management Web management information system with both B/S (Browser/Server) and C/S structure (Client/Server). The platform can operate anywhere, and can give full play to the processing capacity of the client PC, and greatly reduce the application server running data load. The experimental results show that compared with the centralized database system, in the same piece of redundant condition, when the test table data is greater than the 1 million and the concurrent number is 100, the distributed database system has shorter concurrent query time and faster system response rate. Based on the above finding, it is concluded that wireless Internet of things technology based on mobile Internet will promote the development of the whole logistics industry and other related industries.</span></span></p>

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