Research on Signal Propagation Model of Buried Pipe Fiber Vibration Monitoring System

Optik ◽  
2021 ◽  
pp. 168365
Author(s):  
Qian Sun ◽  
Zhou Sha ◽  
Lei Chen
2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Jian Feng Zhao ◽  
Xi Mei Chen ◽  
Bo Dong Liang ◽  
Qiu Xia Chen

Human body communication (HBC), which uses the human body tissue as the transmission medium to transmit health informatics, serves as a promising physical layer solution for the body area network (BAN). The human centric nature of HBC offers an innovative method to transfer the healthcare data, whose transmission requires low interference and reliable data link. Therefore, the deployment of HBC system obtaining good communication performance is required. In this regard, a tutorial review on the important issues related to HBC data transmission such as signal propagation model, channel characteristics, communication performance, and experimental considerations is conducted. In this work, the development of HBC and its first attempts are firstly reviewed. Then a survey on the signal propagation models is introduced. Based on these models, the channel characteristics are summarized; the communication performance and selection of transmission parameters are also investigated. Moreover, the experimental issues, such as electrodes and grounding strategies, are also discussed. Finally, the recommended future studies are provided.


2013 ◽  
Vol 347-350 ◽  
pp. 796-802 ◽  
Author(s):  
Yan Hong Zang ◽  
Jin Song Wang ◽  
Lin Ling ◽  
Pei Zhong Lu

We proposea method of RSS-base localization in WSN (Wireless Sensor Network), called Hybrid HMM, to improve the stabilityof node localization basedon RSS(Received Signal Strength).This model utilizesHMM(Hidden Markov Model) to takeinto account the time factor when receiving the RSS sequence, andconverts the action of ranging into an operationof classification.For the received RSS used for localization,our Hybrid HMMwill compare it withthe preset RSS threshold value, and put the result into one of two categories for subsequent processing: If the received value is higher than the threshold value, the distance value will be drawn from the signal propagation model. If lower, the information will be obtained from a trained HMM. Experimental results show that the Hybrid HMM method can greatly improve the localization accuracy.


2012 ◽  
Vol 7 (5) ◽  
pp. 789-796 ◽  
Author(s):  
Hee-Sung Kim ◽  
Binghao Li ◽  
Wan-Sik Choi ◽  
Sang-Kyung Sung ◽  
Hyung-Keun Lee

2015 ◽  
Vol 21 (4) ◽  
Author(s):  
Saulius Japertas ◽  
Karolis Pilipavičius ◽  
Dilip Janarthanan

2013 ◽  
Vol 18 ◽  
pp. 1505-1514 ◽  
Author(s):  
Małgorzata Żabińska ◽  
Tomasz Sośnicki ◽  
Wojciech Turek ◽  
Krzysztof Cetnarowicz

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