scholarly journals Wireless Sensor Networks of Infrastructure Health Monitoring for High-Speed Railway

2016 ◽  
Vol 2016 ◽  
pp. 1-11
Author(s):  
Haijian Li ◽  
Limin Jia ◽  
Yigang Zhang ◽  
Chengkun Liu ◽  
Jian Rong

High-speed railways (HSRs) have been widely deployed all over the world in recent years and China has entered an era with both high investments and rapid expansion of HSR transport infrastructure. One of the most challenging issues is how to keep the security and safety of millions of HSR infrastructures. Meanwhile, the emerging sensing and wireless sensor network (WSN) technologies for infrastructure health monitoring (IHM) are being substituted for traditional tethered monitoring systems. This paper presents a two-layer architecture of WSN which will be appropriate for infrastructure health monitoring of HSR. The upper layer is named as tree access network and the lower layer is called star detection network. By adapting to the special characteristics of IHM network, we design a short network address and an optimized communication frame structure, which can satisfy the actual requirements and special characteristics of the IHM network. In order to implement a better transmission performance, we propose a novel transmission power based method which adopts the knowledge update mechanism to detect the optimization result. In the end, the details of address assignment and network construction are discussed, and the effectiveness of the proposed method is validated by a practical instance.

2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Md. Motaharul Islam ◽  
Ngnamsie N. Soualihou ◽  
Arham A. Siddiquee

Due to its efficiency in end-to-end communication, wireless sensor network based on the Internet protocol (IP-WSN) is used for monitoring purposes. Nowadays, the concerned agencies are giving their highest priority to monitor its critical infrastructure. Infrastructure health monitoring is the measure of estimating the state of infrastructure health or detecting the changes in structures that affect its performance. The traditional approach to monitor the infrastructure health is done by using centralized data acquisition hub. Installation and commissioning of these systems represent significant concerns, thus moving toward IP-WSN. As cost effectiveness and energy efficiency are major concerns, our proposed approach is to reduce the amount of overhead while keeping the infrastructure health monitoring system accurate. Our contribution in this paper is to reduce the amount of data to be transmitted by compressing the payload of the packets. Thus, we have proposed a double compression algorithm. In this way, the capacity of the sensor node will be increased since less time will be taken to transmit data between the intermediate node as well as the coordinator node. As a consequence, it will also extend the lifetime of the battery.


Author(s):  
Emre I. Cosar ◽  
Maurizio Bocca ◽  
Lasse M. Eriksson

Communication between a sink node and a PC can constitute a bottleneck for high data rate applications of wireless sensor networks (WSNs) including, but not limited to, structural health monitoring, condition monitoring, wireless surveillance and patient health monitoring. In this paper, we evaluate four different data acquisition alternatives for data-intensive WSN applications. We will concentrate especially on optimizing UART (universal asynchronous receiver transmitter) communication in conjunction with WSN applications. Furthermore, we propose a new method for sink node to PC communication, which is based on using a USB-connected data acquisition (DAQ) board that samples the node external I/O. This method can provide an efficient solution to transfer data from the sink node to PC at a reasonable cost. Wireless sink node converts the data received from the network into analog signal levels, which are sampled through the DAQ board connected to a PC, and the original data is reconstructed offline. Tests on a wooden bridge built to scale with six wireless sensor nodes and a sink node show that with the proposed method it is possible to collect the data from the network and transfer them onto the PC significantly faster than with the 115.2 kbps UART communication regularly used in WSN applications.


Measurement ◽  
2016 ◽  
Vol 79 ◽  
pp. 83-93 ◽  
Author(s):  
Haijian Li ◽  
Tingting Yao ◽  
Moyu Ren ◽  
Jian Rong ◽  
Chengkun Liu ◽  
...  

2012 ◽  
Vol E95-B (3) ◽  
pp. 730-739 ◽  
Author(s):  
Kunitaka ASHIZAWA ◽  
Takehiro SATO ◽  
Kazumasa TOKUHASHI ◽  
Daisuke ISHII ◽  
Satoru OKAMOTO ◽  
...  

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