DocumentCode :
3117553
Title :
Range-free algorithm for energy-efficient indoor localization in Wireless Sensor Networks
Author :
Kaseva, Ville ; Hämäläinen, Timo D. ; Hännikäinen, Marko
Author_Institution :
Dept. of Comput. Syst., Tampere Univ. of Technol., Tampere, Finland
fYear :
2011
fDate :
2-4 Nov. 2011
Firstpage :
1
Lastpage :
8
Abstract :
Wireless Sensor Networks (WSNs) form an attractive technology for ubiquitous indoor localization. The localized node lifetime is maximized by using energy-efficient radios and minimizing their active time. However, the most low-cost and low-power radios do not include Received Signal Strength Indicator (RSSI) functionality commonly used for RF-based localization. In this paper, we present a range-free localization algorithm for localized nodes with minimized radio communication and radios without RSSI. The low complexity of the algorithm enables implementation in resource-constrained hardware for in-network localization. We experimented the algorithm using a real WSN implementation. In room-level localization, the area was resolved correctly 96% of the time. The maximum point-based error was 8.70 m. The corresponding values for sub-room-level localization are 100% and 4.20 m. The prototype implementation consumed 1900 B of program memory. The data memory consumption varied from 18 B to 180 B, and the power consumption from 345 μW to 2.48 mW depending on the amount of localization data.
Keywords :
indoor radio; wireless sensor networks; RF-based localization; active time; data memory consumption; energy-efficient indoor localization; energy-efficient radios; in-network localization; localized node lifetime; localized nodes; power 345 muW to 2.48 mW; power consumption; radio communication; range-free localization algorithm; received signal strength indicator; resource-constrained hardware; room-level localization; ubiquitous indoor localization; wireless sensor networks; Accuracy; Algorithm design and analysis; Hardware; Radio frequency; Time measurement; Wireless sensor networks; Workstations; Energy-efficiency; Localization; Wireless Sensor Networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design and Architectures for Signal and Image Processing (DASIP), 2011 Conference on
Conference_Location :
Tampere
Print_ISBN :
978-1-4577-0620-2
Electronic_ISBN :
978-1-4577-0619-6
Type :
conf
DOI :
10.1109/DASIP.2011.6136887
Filename :
6136887
Link To Document :
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