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http://dx.doi.org/10.6109/jkiice.2007.11.11.2172

Indoor RSSI Characterization using Statistical in Wireless Sensor Network  

Pu, Chuan-Chin (동서대학교 유비쿼터스IT학과)
Chung, Wan-Young (동서대학교 컴퓨터정보통신공학부)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.11, no.11, 2007 , pp. 2172-2178 More about this Journal
Abstract
In indoor environment, the combination of the two variations, large scale(path loss) and small scale(fading), leads to non-linear variation of RSSI(received signal strength indicator) values as distance varied. This has been one of the difficulties for indoor location estimation. This paper presents new findings on indoor RSSI characterization for more accurate model building. Experiments have been done statistically to find overall trend of RSSI values at different places and times within the same room. From experiments, it has been shown that the variation of RSSI values can be determined by both spatial and temporal factors. These two factors are directly indicated by the two main parameters of path loss model. The results show that all sensor nodes which are located at different places share the same characterization value for the temporal parameter whereas different values for the spatial parameters. The temporal parameter also has a large scale variation effect that is slowly time varying due to environmental changes. Using this relationship, the characterization for location estimation can be more efficient and accurate.
Keywords
Spatial; Temporal; RSSI Characterization; Wireless Sensor Network;
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