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.
@inproceedings{DBLP:conf/percom/SalimWSPPSW14,
author = {Flora D. Salim and
Mani Williams and
Nishant Sony and
Mars Dela Pena and
Yury Petrov and
Abdelsalam Ahmed Saad and
Bo Wu},
bibsource = {dblp computer science bibliography, https://dblp.org},
biburl = {https://dblp.org/rec/conf/percom/SalimWSPPSW14.bib},
booktitle = {2014 IEEE International Conference on Pervasive Computing and Communication
Workshops, PerCom 2014 Workshops, Budapest, Hungary, March 24-28,
2014},
doi = {10.1109/PerComW.2014.6815270},
pages = {575--580},
publisher = {IEEE Computer Society},
timestamp = {Wed, 16 Oct 2019 14:14:54 +0200},
title = {Visualization of wireless sensor networks using ZigBee's Received
Signal Strength Indicator (RSSI) for indoor localization and tracking},
url = {https://doi.org/10.1109/PerComW.2014.6815270},
year = {2014}
}
© 2021 Flora Salim - CRUISE Research Group.