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Apr 26, 2012

An Architecture for Local Decision Support in Ad Hoc Sensor Networks

Publication: Computing in Civil Engineering (2007)

Abstract

The Intelligent Job Site is becoming a reality as applications (e.g., RFID for materials tracking, laser scanning and GPS for surveying and layout) using sensors and mobile computing devices are being developed and deployed commercially. This creates an opportunity for workers to access sensors in an ad hoc manner as they move through a job site. However, re-tasking and re-use of sensor data in a dynamic setting presents significant challenges including ad hoc identification of sensors in a local environment, the generalization of sensor information, and the use of such dynamic info for decision support applications. All these tasks require coordinated advancement of a variety of information and communication technologies. To achieve a generalized approach to make use of local sensor data, this paper describes a three-layer architecture which abstracts functionality into three corresponding tiers: a layer for sensor communication that handles physical communication between devices; a middle-layer for data processing and abstraction of sensor data from specific devices; and a top layer for decision support applications. At each of the three tiers in the architecture the level of abstraction increases, allowing for development of decision support applications at the top level that are not directly tied to specific sensors or computing devices. This paper demonstrates the usefulness and versatility of the proposed three-tier architecture by describing two safety applications envisaged for the Intelligent Job Site.

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Go to Computing in Civil Engineering (2007)
Computing in Civil Engineering (2007)
Pages: 769 - 776

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Published online: Apr 26, 2012

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William J. O'Brien [email protected]
Assistant Professor, Department of Civil, Architectural and Environmental Engineering, University of Texas at Austin, 1 University Station C1752, Austin, TX 78712-0273. E-mail: [email protected]
Christine Julien [email protected]
Assistant Professor, Department of Electrical and Computer Engineering, University of Texas at Austin, 1 University Station C5000, Austin, TX 78712. E-mail: [email protected]
Joachim Hammer [email protected]
Associate Professor, Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL 32611. E-mail: [email protected]
Sanem Kabadayi
Ph.D. Candidate, Department of Electrical and Computer Engineering, University of Texas at Austin, 1 University Station C5000, Austin, TX 78712
Xiaowei Luo, Ph.D.
Student, Department of Civil, Architectural and Environmental Engineering, University of Texas at Austin, 1 University Station C1752, Austin, TX 78712-0273

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