DocumentCode :
2650649
Title :
A self-localization algorithm for wireless sensor networks
Author :
Li, Juelong ; Du, Xiaofei ; Xing, Jianchun ; Yang, Qiliang
Author_Institution :
PLA Univ. of Sci. & Technol., Nanjing, China
fYear :
2012
fDate :
23-25 May 2012
Firstpage :
3836
Lastpage :
3842
Abstract :
Considering the deficiencies and limitations of Multidimensional Scaling -based (MDS-MAP) localization algorithm, a new MDS-mass spring-based (MDS-MS) localization algorithm was proposed by analyzing the MDS-MAP algorithm and Mass Spring Optimization-based (MSO) positioning algorithm. Moreover, for different ranging error, network connectivity and anchor node density, MDS-MAP, MSO, MDS-MAP(P) and MDS-MS four localization algorithms were simulated and compared. The simulation results show that MDS-MS-based algorithm possesses strong robustness and high positioning precision, and is fit for localization in sparse network topology and irregular network topology.
Keywords :
telecommunication network topology; wireless sensor networks; MDS-MAP; MDS-MS; MDS-mass spring-based localization algorithm; MSO positioning algorithm; irregular network topology; multidimensional scaling; self-localization algorithm; sparse network topology; wireless sensor networks; Accuracy; Algorithm design and analysis; Force; Network topology; Robustness; Springs; Wireless sensor networks; MDS; MDS-MS; MSO; localization algorithm; wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
Type :
conf
DOI :
10.1109/CCDC.2012.6243098
Filename :
6243098
Link To Document :
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