Sensors 2009, 9(8), 6150-6170; doi:10.3390/s90806150

An Efficient and Self-Adapting Localization in Static Wireless Sensor Networks

1 College of Computer Science, Zhejiang University, Hangzhou, 310027, China 2 Hangzhou Normal University, Hangzhou, 310036, China
* Author to whom correspondence should be addressed.
Received: 28 May 2009; in revised form: 24 June 2009 / Accepted: 29 July 2009 / Published: 4 August 2009
(This article belongs to the Special Issue Sensor Algorithms)
PDF Full-text Download PDF Full-Text [991 KB, uploaded 4 August 2009 03:30 CEST]
Abstract: Localization is one of the most important subjects in Wireless Sensor Networks (WSNs). To reduce the number of beacons and adopt probabilistic methods, some particle filter-based mobile beacon-assisted localization approaches have been proposed, such as Mobile Beacon-assisted Localization (MBL), Adapting MBL (A-MBL), and the method proposed by Hang et al. Some new significant problems arise in these approaches, however. The first question is which probability distribution should be selected as the dynamic model in the prediction stage. The second is whether the unknown node adopts neighbors’ observation in the update stage. The third is how to find a self-adapting mechanism to achieve more flexibility in the adapting stage. In this paper, we give the theoretical analysis and experimental evaluations to suggest which probability distribution in the dynamic model should be adopted to improve the efficiency in the prediction stage. We also give the condition for whether the unknown node should use the observations from its neighbors to improve the accuracy. Finally, we propose a Self-Adapting Mobile Beacon-assisted Localization (SA-MBL) approach to achieve more flexibility and achieve almost the same performance with A-MBL.
Keywords: wireless sensor networks (WSNs); localization; particle filter; self-adapting mobile beacon-assisted localization (SA-MBL)

Article Statistics

Load and display the download statistics.

Citations to this Article

Cite This Article

MDPI and ACS Style

Teng, G.; Zheng, K.; Dong, W. An Efficient and Self-Adapting Localization in Static Wireless Sensor Networks. Sensors 2009, 9, 6150-6170.

AMA Style

Teng G, Zheng K, Dong W. An Efficient and Self-Adapting Localization in Static Wireless Sensor Networks. Sensors. 2009; 9(8):6150-6170.

Chicago/Turabian Style

Teng, Guodong; Zheng, Kougen; Dong, Wei. 2009. "An Efficient and Self-Adapting Localization in Static Wireless Sensor Networks." Sensors 9, no. 8: 6150-6170.

Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert