TY - GEN
T1 - An architecture for local decision support in ad hoc sensor networks
AU - O'Brien, William J.
AU - Julien, Christine
AU - Hammer, Joachim
AU - Kabadayi, Sanem
AU - Luo, Xiaowei
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
KW - Ad-hoc Wireless Network
KW - Construction Safety
KW - Decision Support
KW - Domain Ontology
KW - Lightweight Footprint
UR - http://www.scopus.com/inward/record.url?scp=84891312396&partnerID=8YFLogxK
U2 - 10.1061/40937(261)91
DO - 10.1061/40937(261)91
M3 - Conference contribution
AN - SCOPUS:84891312396
SN - 0784409374
SN - 9780784409374
T3 - Congress on Computing in Civil Engineering, Proceedings
SP - 769
EP - 776
BT - Computing in Civil Engineering - Proceedings of the 2007 ASCE International Workshop on Computing in Civil Engineering
T2 - 2007 ASCE International Workshop on Computing in Civil Engineering
Y2 - 24 July 2007 through 27 July 2007
ER -