Paper
11 April 2006 An application of smart dust for pavement condition monitoring
Nadim A. Ferzli, Richard A. Ivey, Timothy King, Colby J. Sandburg, Jin-Song Pei, Musharraf M. Zaman, Hazem H. Refai, Hung Jr. Lin, Aaron Landrum, Rory Victor
Author Affiliations +
Abstract
Pavement maintenance is vital for travel safety; detecting road weather conditions using a wireless sensing network poses many challenges due to the harsh environment. This paper presents some preliminary results of an ongoing effort of applying "Smart Dust" sensor network for monitoring pavement temperature and moisture condition to detect icy road condition. Careful considerations yield effective solutions to various hardware and software development issues including the selection of sensors and antenna, design of casing, interfacing motes with alien sensors and programming of motes. A series of experiments is carried out to study traffic interference to packet delivery performance of a small-scale sensor network in a pseudo-field environment. In addition, several overnight tests are conducted to study the performance of motes operated under a power efficient condition. The results are analyzed and challenges are identified in this smart sensing application. The aforementioned research activities would benefit robust real-world implementations of off-the-shelf sensor network products.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nadim A. Ferzli, Richard A. Ivey, Timothy King, Colby J. Sandburg, Jin-Song Pei, Musharraf M. Zaman, Hazem H. Refai, Hung Jr. Lin, Aaron Landrum, and Rory Victor "An application of smart dust for pavement condition monitoring", Proc. SPIE 6174, Smart Structures and Materials 2006: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, 617433 (11 April 2006); https://doi.org/10.1117/12.658919
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Cited by 4 scholarly publications.
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KEYWORDS
Sensors

Infrared sensors

Antennas

Sensor networks

Mica

Roads

Fourier transforms

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