Efficient Sensor Localization Method with Classifying Environmental Sensor Data

Ae-cheoun Eun, Young-guk Ha
2012 International Journal of Distributed Sensor Networks  
Sensor location estimation is important for many location-based systems in ubiquitous environments. Sensor location is usually determined using a global positioning system. For indoor localization, methods that use the received signal strength (RSS) of wireless sensors are used instead of a global positioning system because of the lack of availability of a global positioning system for indoor environments. However, there is a problem in determining sensor locations from the RSS: radio signal
more » ... erference occurs because of the presence of indoor obstacles. To avoid this problem, we propose a novel localization method that uses environmental data recorded at each sensor location and a data classification technique to identify the location of sensor nodes. In this study, we used a wireless sensor node to collect data on various environmental parameters-temperature, humidity, sound, and light. We then extracted some features from the collected data and trained the location data classifier to identify the location of the wireless sensor node.
doi:10.1155/2012/417830 fatcat:7u5kopejsnbnbpvm34zpxcq6xy