DOLPHIN: an autonomous indoor positioning system in ubiquitous computing environment
- 20 July 2004
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
Determining physical location of indoor objects is one ofthe key issues in development of context-awareapplications in ubiquitous computing environment. This ismainly because context information obtained from sensornetwork is meaningful only when the physical location ofcontext information source is determined. Recently, severalindoor location information systems, such as Active Bat[1]and Cricket[2], have been developed for precise indoorobject localization. However, to provide accurate physicallocation tracking in large-scale space, those systemsrequires a lot of manual configuration for all theultrasonic sensor nodes. To reduce configuration costs, wedeveloped a new indoor positioning system calledDOLPHIN. The DOLPIN system consists of distributedwireless sensor nodes which are capable of sending andreceiving RF and ultrasonic signals. These nodes areattached to various indoor objects. And using a noveldistributed positioning algorithm in the nodes, DOLPHINenable autonomous positioning of the objects with minimalmanual configuration. This paper describes the design andimplementation of the DOLPHIN system, and evaluatesbasic performance through several experiments in indoorenvironment.Keywords
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