Title :
RSSI based indoor and outdoor distance estimation for localization in WSN
Author :
Adewumi, O.G. ; Djouani, Karim ; Kurien, A.M.
Author_Institution :
Dept. of Electr. Eng., Tshwane Univ. of Technol., Pretoria, South Africa
Abstract :
Research has revealed that the correlation between distance and RSSI (Received Signal Strength Indication) values is the key of ranging and localization technologies in wireless sensor networks (WSNs). In this paper, an RSSI model that estimates the distance between sensor nodes in WSNs is presented. The performance of this model is evaluated and analyzed in a real system deployment in an indoor and outdoor environment by performing an empirical measurement using Crossbow IRIS wireless sensor motes. Our result shows that there is less error in distance estimation in an outdoor environment compared to indoor environment. The results of these evaluations would contribute towards obtaining accurate locations of wireless sensor nodes.
Keywords :
distance measurement; indoor radio; sensor placement; wireless sensor networks; RSSI based indoor distance estimation; RSSI model; WSN localization; crossbow IRIS wireless sensor motes; empirical measurement; localization technology; outdoor distance estimation; received signal strength indication; wireless sensor nodes; Equations; Indoor environments; Mathematical model; Radio transmitters; Receivers; Wireless communication; Wireless sensor networks; Distance; Localization; RSSI; WSN;
Conference_Titel :
Industrial Technology (ICIT), 2013 IEEE International Conference on
Conference_Location :
Cape Town
Print_ISBN :
978-1-4673-4567-5
Electronic_ISBN :
978-1-4673-4568-2
DOI :
10.1109/ICIT.2013.6505900
