Study of RF Propagation Characteristics for Wireless Sensor Networks in Railroad Environments

Sharif, Hamid; Hempel, Michael

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Study of RF Propagation Characteristics for Wireless Sensor Networks in Railroad Environments

2010-01-01
By Sharif, Hamid ; Hempel, Michael

File Language:

English

Details

Creators:

Sharif, Hamid ; Hempel, Michael
Corporate Creators:

University of Nebraska at Omaha. Advanced Telecommunications Engineering Laboratory
Corporate Contributors:

Mid-America Transportation Center
Subject/TRT Terms:
Publication/ Report Number:

25-1121-0001-226
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

Mid-America Transportation Center
Abstract:

The freight railroad industry in North America is exerting efforts to leverage Wireless Sensor Networks to monitor systems and components on railcars. This allows fault detection and accident prevention even while a train is moving. Railcars, constructed mostly of ferrous materials such as steel, are expected to severely impact signal propagation. To better understand this effect we first evaluated the signal characteristics when sensor nodes are placed in various locations around railcars. We used EM-Field modeling and evaluation techniques to obtain these results and found that node placement selection is critical for the node’s communication distance. As a second research area we therefore aimed at understanding the protocol requirements and limitations of current WSN technologies. Based on the results of our study we found ZigBee to be inadequate for freight WSNs and developed a solution that remedies the problems we observed. Our evaluation of this new multi-tier approach shows a significant performance and network lifetime gain, making freight train wireless sensor networks feasible.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/34360/dot_34360_DS1.pdf
File Type:

[PDF - 9.49 MB]
Collection(s):

University Transportation Centers ; US Transportation Collection
Main Document Checksum:

urn:sha256:91515199c673fe60ab46cdca40963ca84cb81308216c46673d3598b49ecc5570

File Language:

English

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