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 visualization, deployed on smart phones. Existing research has demonstrated the use of RSSI to estimate the position of ZigBee tags (transmitters). The contribution of this paper is to integrate the use of sensor cloud services for managing spatio-temporal data streams and a smartphone app for visualizing the dynamic spatial and temporal aspects of the readings from wireless sensor networks. () © 2014 IEEE.
CITATION STYLE
Salim, F., Williams, M., Sony, N., Dela Pena, M., Petrov, Y., Saad, A. A., & Wu, B. (2014). Visualization of wireless sensor networks using ZigBee’s Received Signal Strength Indicator (RSSI) for indoor localization and tracking. In 2014 IEEE International Conference on Pervasive Computing and Communication Workshops, PERCOM WORKSHOPS 2014 (pp. 575–580). IEEE Computer Society. https://doi.org/10.1109/PerComW.2014.6815270
Mendeley helps you to discover research relevant for your work.