Access Point Research in Rail Train Safety Monitoring Sensor Network

Author(s):  
Peng Wenlong ◽  
Li Zhiguo ◽  
Pang Shaohuang ◽  
Jia Limin ◽  
Tian Yin ◽  
...  
2019 ◽  
Vol 127 ◽  
pp. 1183-1192 ◽  
Author(s):  
Guoqiang Cai ◽  
Jiaqing Zhao ◽  
Qiong Song ◽  
Mengchu Zhou

2018 ◽  
Vol 6 (3) ◽  
pp. 213-221
Author(s):  
Soo-Hwan Lee ◽  
You-Ho Kim ◽  
Sang-ahm Kim ◽  
Hyun-Ju Hwang ◽  
Yong-Woon Choi

2013 ◽  
Vol 455 ◽  
pp. 431-433
Author(s):  
Hai Feng Hong ◽  
Zhen Chen Chang ◽  
Chen Hui Yang ◽  
Xue Dong Wang

Metrorailtrain safetyguarantee and accident preventive measures become more stringent as severity of collisions and derailments happens frequently. Aninnovative safety monitoring and early warning network technology is discussed. This computing environment named Centralnode is used in several Metrorail trains under working condition. It integrates trains real-time dataaccording to aspects of vehiclesinterconnection, function service models and characteristic, uniform storage structure, circulation mechanism, diagnosis fusion interface. It improves the vehicles fault diagnosis accuracy and effectiveness.


2013 ◽  
Vol 273 ◽  
pp. 537-541
Author(s):  
Geng Li

Since the down hole operational environment is hostile, with serious potential safety hazards, it is necessary to establish a perfect safety monitoring mechanism. As an entirely new communication carrier, the wireless sensor network plays an active role in the safety monitoring of the mine. The sensor node localization technology is the foundation of its application. Its accuracy has a great influence on the effect of the mine shaft wireless communication. In the randomly distributed network, the node localization of the traditional DV-Hop(Distance Vector-Hop) algorithm has more error. In this paper, the original DV-Hop algorithm was improved by optimizing the average skip distance of the anchor node and correcting the accuracy of the hop count between nodes. The results of MATLAB simulation and comparison between the improved algorithm and the original one indicate that the improved algorithm increases the accuracy of the node localization in the mine shaft and which applicable to some extent.


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