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With the advancement in wireless sensor networks (WSN) researchers in social network analysis (SNA) now have access to larger and more complex datasets that describe human interactions in the physical space. Studies in WSN thrive on accuracy and robustness whereas SNA operates on a higher level of data abstraction. Graph mining is a bridge between these two fields. This paper investigates two approaches...
Fingerprinting is the prevailing positioning method for location based service (LBS) and indoor positioning applications when compared with other methods such as cell of origin (CoO) and trilateration. It is especially more suitable for complicated indoor environments. However, higher positioning accuracy is still expected for it to match the capabilities of other mature techniques such as GPS. This...
With the increasing popularity of Wireless Sensor Networks (WSN), indoor localization has become a key research challenge, since it is crucial to locate the sensors in order to analyze the sensor data in their spatial and temporal contexts. The paper presents a novel method to visualize the position and trajectory of a dynamic WSN using ZigBee's Received Signal Strength Indicator (RSSI) in a map-based...
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