Journal of Computing in Civil Engineering

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Editors: James H. Garrett, Jr., Ph.D., P.E., F.ASCE,
Carnegie Mellon University

Lucio Soibelman, Ph.D., M.ASCE,
Carnegie Mellon University

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January 1987 – Present

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The Journal of Computing in Civil Engineering serves as a resource to researchers, practitioners, and students on advances and innovative ideas in computing as applicable to the engineering profession. Many such ideas emerge from recent developments in computer science, information science, computer engineering, knowledge engineering, and other technical fields. Some examples are innovations in artificial intelligence, parallel processing, distributed computing, graphics and imaging, and information technology.

The journal publishes research, implementation, and applications in cross-disciplinary areas including software, such as new programming languages, database-management systems, computer-aided design systems, and expert systems; hardware for robotics, bar coding, remote sensing, data mining, and knowledge acquisition; and strategic issues such as the management of computing resources, implementation strategies, and organizational impacts.

ISSN: 0887-3801  e-ISSN: 1943-5487
Frequency: Bimonthly

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The judgment of independent peer-reviewers and their willingness to share their time and expertise help ASCE to publish engineering journals of the highest caliber. The Journal of Computing in Civil Engineering acknowledges the contributions of individual reviewers.

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Research Highlights

Local Information Access for Search and Rescue Using Wireless Data Storage Mediums

J. Computing in Civ. Eng. 25, 263 (2011)

Issue Date: September 2010

After a natural disaster strikes buildings, it is vital to immediately retrieve the related local information for efficient search and rescue (S&R) operations. Although it seems convenient to store the required local information (e.g., information about neighborhood, buildings) in a centralized database, S&R teams usually cannot access centralized databases because the information infrastructure is usually damaged or overloaded immediately after a disaster. This paper describes the search and rescue data access point (SR-DAP) system that was designed for storing and retrieving the required local information in/from data storage units that are deployed at buildings. In the paper, the developed approach is presented, and two key technologies (i.e., radio-frequency identification (RFID) tags and wireless sensor nodes) that are used as local storage mediums in SR-DAP are empirically evaluated. The results of the field experiments show that current technologies can be effectively utilized in the developed system. However, comparison of the technologies highlights the fact that the current wireless sensor technology is advantageous over RFID technology.

©2011 ASCE

 

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