The Research of Monte Carlo Localization Algorithm Based on Received Signal Strength

Author

Shao, Qingliang ; Xu, Hongyu ; Jia, Liang ; Li, Peng

Author_Institution

Sch. of Electron. & Inf. Eng., Shenyang Aerosp. Univ., Shenyang, China

fYear

2011

Firstpage

1

Lastpage

4

Abstract

In this paper, The Monte Carlo localization algorithm based on RSS is proposed, which calibrate the weights between mobile node and each anchor nodes by using the distance between anchor nodes and mobile nodes measured RSS values. This method avoids the filter conditions of MCL method which makes it impossible to get enough valid samples and resample to bring a large number of calculations. Simulation shows that this method reduces the probability of weight coefficients degeneracy and the sample size is decreased. It improved the calculation efficiency and the localization accuracy of mobile nodes.

Keywords

Monte Carlo methods; mobile radio; sensor placement; signal processing; wireless sensor networks; MCL method; Monte Carlo localization algorithm; RSS; anchor nodes; mobile node; probability; received signal strength; weight coefficients; Accuracy; Energy consumption; Equations; Mobile communication; Monte Carlo methods; USA Councils; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing (WiCOM), 2011 7th International Conference on

Conference_Location

Wuhan

ISSN

2161-9646

Print_ISBN

978-1-4244-6250-6

Type

conf

DOI

10.1109/wicom.2011.6040126

Filename

6040126