Large Volume Urban Train Security Detection Sensor Network Structure

2013 ◽  
Vol 303-306 ◽  
pp. 251-254 ◽  
Author(s):  
Xiao Yang Yao ◽  
De Qiang He ◽  
Jian Xiao Chen ◽  
Guo Liang He

There are large number of mechanical, electrical and auxiliary devices, and many sensors and intelligent nodes in urban train. The coupling relationship among onboard nodes becomes more and more complex, and various safety detection and information system demand train communication network higher performance. All of these variations need security detection sensor network which has high real-time, bandwidth and interoperability, good maintainability and expansibility. As the existing train communication network transmission rate is low, large capacity status and fault diagnosis data, the event log data, audio and video data which are stored in different vehicles equipments, and cannot be efficient and timely processing. So, it is difficult to realize the information transmission and processing, fault diagnosis and intelligent maintenance of train set. Based on the train level and vehicle level Ethernet network, this paper will focus on network construction technology of large volume onboard security detection sensor network. The research results will help to improve performance of urban train.

2013 ◽  
Vol 787 ◽  
pp. 1030-1033
Author(s):  
Xiao Yang Yao ◽  
De Qiang He ◽  
Hong Tang ◽  
Chong Hui Ren

The existing train communication network transmission rate is low, large capacity Passenger Information System cannot be efficient and timely processing and transmission. As train security detection sensor network based on Ethernet which has high real-time, bandwidth and interoperability, good maintainability and expansibility, all information transmission and content updates in the PIS system will be centralized and distributed via train level security detection sensor network to all other cars using IP protocol, it will simple overall architecture, improve reliability, guarantee safety and reduce maintenance cost. This paper will mainly construct the PIS system architecture based on train security detection sensor network and simulate its network performance.


2013 ◽  
Vol 859 ◽  
pp. 477-481
Author(s):  
Yun Wang ◽  
Cui Huan Yang

This paper studies a new method of the classification retrieval technology in the remote video communication network. In order to make the huge video data can be transmitted in the communication network, this paper puts forward a new idea, a method of increased middleware based on the traditional method of C/S network transmission mode, and combined with advanced AdaBoost algorithm in the field of pattern recognition, to launched in-depth research for the classification retrieval technology in the remote video. This research has a certain reference value to the remote verification system.


Author(s):  
Chao Wang

Background: It is important to improve the quality of service by using congestion detection technology to find the potential congestion as early as possible in wireless sensor network. Methods: So an improved congestion control scheme based on traffic assignment and reassignment algorithm is proposed for congestion avoidance, detection and mitigation. The congestion area of the network is detected by predicting and setting threshold. When the congestion occurs, sensor nodes can be recovery quickly from congestion by adopting reasonable method of traffic reassignment. And the method can ensure the data in the congestion areas can be transferred to noncongestion areas as soon as possible. Results: The simulation results indicate that the proposed scheme can reduce the number of loss packets, improve the throughput, stabilize the average transmission rate of source node and reduce the end-to-end delay. Conclusion: : So the proposed scheme can enhance the overall performance of the network. Keywords: wireless sensor network; congestion control; congestion detection; congestion mitigation; traffic assignment; traffic reassignment.


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