An Enhanced HCRL Algorithm in Wireless Sensor Networks for Pervasive Computing

Author

Wang, YinLong ; Wang, Xiwu ; Yang, Lei ; Peng, Shanguo ; Li, Zhixiang ; Li, Qianjin ; Lin, Kecheng

Author_Institution

Fifth Dept., Ordnance Eng. Coll., Shijiazhuang, China

fYear

2010

fDate

17-19 Sept. 2010

Firstpage

132

Lastpage

137

Abstract

HCRL is a localization algorithm in Wireless Sensor Networks, which can fix the position of the unknown node with a single flooding broadcast. This algorithms can save on the traffic of the system, meanwhile has superior computational complexity and lower accuracy of localization. In this paper, we enhance HCRL algorithms by setting the threshold of isodynamic point. After enhancing, IMP-HCRL algorithms reduce the computational complexity of the HCRL, and increase the accuracy of localization by 3.23%.

Keywords

computational complexity; telecommunication traffic; ubiquitous computing; wireless sensor networks; computational complexity; enhanced HCRL algorithm; hop-count ratio based localization; isodynamic point; pervasive computing; single flooding broadcast; wireless sensor network; Accuracy; Analytical models; Computational complexity; Floods; Frequency modulation; Signal processing algorithms; Wireless sensor networks; HCRL; Isodynamic Point; Localization Algorithms; Pervasive Computing;

fLanguage

English

Publisher

ieee

Conference_Titel

Pervasive Computing Signal Processing and Applications (PCSPA), 2010 First International Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4244-8043-2

Electronic_ISBN

978-0-7695-4180-8

Type

conf

DOI

10.1109/PCSPA.2010.41

Filename

5635696