DocumentCode :
3052860
Title :
A novel self-localization algorithm based on RSS for wireless sensor networks
Author :
Chen, Maocong ; Tian, Hua ; Wu, Lianguo
Author_Institution :
Inst. of Commun. Eng., PLA Univ. of Sci. & Technol., Nanjing, China
fYear :
2010
fDate :
21-23 Oct. 2010
Firstpage :
1
Lastpage :
5
Abstract :
Self-localization is one of the basic problems in wireless sensor networks. In this paper, we propose a new localization algorithm using received signal strength (RSS) with seven anchors in order to balance the complex technology for distance estimation and the accuracy of the localization. First, based entirely on comparison of received signal strength transmitted by mobile anchors, the static nodes can acquire their positions without estimating these distances directly from other nodes. Then the unknown nodes can estimate the path loss exponent nearby with the estimated positions. Finally, the more accurate positions are achieved through log-distance path loss model. This proposed algorithm decreases the complexity of the hardware equipment, and improves the accuracy of localization result.
Keywords :
estimation theory; signal processing; wireless sensor networks; RSS; distance estimation; hardware equipment; log-distance path loss model; mobile anchors; path loss exponent; received signal strength; self-localization algorithm; static nodes; wireless sensor networks; Accuracy; Ad hoc networks; Estimation; Hardware; Mobile communication; Mobile computing; Wireless sensor networks; node localization; path loss component; received signal strength; wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Signal Processing (WCSP), 2010 International Conference on
Conference_Location :
Suzhou
Print_ISBN :
978-1-4244-7556-8
Electronic_ISBN :
978-1-4244-7554-4
Type :
conf
DOI :
10.1109/WCSP.2010.5633791
Filename :
5633791
Link To Document :
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