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