Title :
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
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;
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
DOI :
10.1109/PCSPA.2010.41
