Visualization of wireless sensor networks using Zigbee's received signal strength indicator (RSSI) for indoor localization and tracking

Salim, F, Williams, M, Sony, N, Dela Pena, M, Petrov, Y, Saad Ahmed, A and Wu, B 2014, 'Visualization of wireless sensor networks using Zigbee's received signal strength indicator (RSSI) for indoor localization and tracking', in Gergely Záruba, Károly Farkas (ed.) 2014 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), Budapest; Hungary, 24-28 March 2014, pp. 575-580.


Document type: Conference Paper
Collection: Conference Papers

Title Visualization of wireless sensor networks using Zigbee's received signal strength indicator (RSSI) for indoor localization and tracking
Author(s) Salim, F
Williams, M
Sony, N
Dela Pena, M
Petrov, Y
Saad Ahmed, A
Wu, B
Year 2014
Conference name PERCOM WORKSHOPS 2014: Second IEEE International Workshop on Social and Community Intelligence, 2014
Conference location Budapest; Hungary
Conference dates 24-28 March 2014
Proceedings title 2014 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)
Editor(s) Gergely Záruba, Károly Farkas
Publisher IEEE
Place of publication United States
Start page 575
End page 580
Total pages 6
Abstract 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.
Subjects Ubiquitous Computing
Database Management
Keyword(s) localization
indoor positioning
RSSI
ZigBee
visualization
wireless sensor networks
smartphone app
sensor cloud
DOI - identifier 10.1109/PerComW.2014.6815270
Copyright notice © 2014 IEEE
ISBN 9781479927364
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Citation counts: TR Web of Science Citation Count  Cited 6 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 13 times in Scopus Article | Citations
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