DocumentCode :
559925
Title :
Localization Algorithm for Wireless Sensor Network Based on Energy Threshold
Author :
Yang, Guang-xue ; Jing, Biao
Author_Institution :
Electr. & Electron. Eng., Harbin Univ. of Sci. & Technol., Harbin, China
Volume :
2
fYear :
2011
fDate :
24-25 Sept. 2011
Firstpage :
193
Lastpage :
197
Abstract :
In order to reduce the probabilities of In-To-Out error and Out-To-In error in APIT localization algorithm and locate more unknown nodes, an improved algorithm based on energy threshold is proposed in this paper. By introducing a certain energy threshold, the unknown nodes that are too close to the anchor node triangles that easily lead to a miscarriage of justice are removed. Besides, the unknown nodes surrounded by two anchor nodes are located. Using iteration, the located unknown nodes are seen as anchor nodes to locate more unknown nodes. Simulation results show that compared with the traditional APIT location algorithm, for the same number of anchor nodes, the location algorithm based on the energy threshold can locate the unknown nodes surrounded less than three anchor nodes and remove the information come from the unknown nodes that easily lead to miscarriage of justice. Thus, the improved algorithm reduces the probabilities of In-To-Out error and Out-To-In error effectively and locates more unknown nodes.
Keywords :
iterative methods; sensor placement; wireless sensor networks; APIT localization algorithm; anchor nodes; energy threshold; in-to-out error probability reduction; iteration; out-to-in error probability reduction; unknown node location; wireless sensor network; Accuracy; Algorithm design and analysis; Educational institutions; Equations; Mathematical model; Signal processing algorithms; Wireless sensor networks; APIT; energy threshold; location; wireless sensor network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology, Computer Engineering and Management Sciences (ICM), 2011 International Conference on
Conference_Location :
Nanjing, Jiangsu
Print_ISBN :
978-1-4577-1419-1
Type :
conf
DOI :
10.1109/ICM.2011.376
Filename :
6113500
Link To Document :
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