Sensor Localization Using Self-Organizing Map for Human Tracking
نویسندگان
چکیده
This article describes a sensor network suitable for human tracking and a sensor localization methodology using self-organizing map in indoor environments. We employed sensor nodes with passive binary infrared motion sensors, and characteristically implemented with functionalities for network configuration, time synchronization, and collision avoidance for transmitting data with accuracy. Using this sensor network, sensor localization for human tracking was examined from the viewpoints of physical space and logical space analyses. For the logical space analysis, we adopted the algorithm of the self-organizing map, that is able to acquire the neighbouring relation of nodes without physical positioning of them. We compared the analyses and concluded that the logical space analysis has great potentiality for human tracking application.
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