Sensors 2011, 11(10), 9989-10009; doi:10.3390/s111009989
Article

Collaborative Localization Algorithms for Wireless Sensor Networks with Reduced Localization Error

1 Department of Computer Science and Information Engineering, Chang Gung University, Kwei-Shan, 33302, Taiwan 2 Department of Information Communication, Yuan-Ze University, Chungli, 32003, Taiwan 3 Department of Computer Science and Engineering, Yuan-Ze University, Chungli, 32003, Taiwan
* Author to whom correspondence should be addressed.
Received: 23 August 2011; in revised form: 12 October 2011 / Accepted: 18 October 2011 / Published: 21 October 2011
(This article belongs to the Special Issue Collaborative Sensors)
PDF Full-text Download PDF Full-Text [2098 KB, uploaded 21 October 2011 14:32 CEST]
Abstract: Localization is an important research issue in Wireless Sensor Networks (WSNs). Though Global Positioning System (GPS) can be used to locate the position of the sensors, unfortunately it is limited to outdoor applications and is costly and power consuming. In order to find location of sensor nodes without help of GPS, collaboration among nodes is highly essential so that localization can be accomplished efficiently. In this paper, novel localization algorithms are proposed to find out possible location information of the normal nodes in a collaborative manner for an outdoor environment with help of few beacons and anchor nodes. In our localization scheme, at most three beacon nodes should be collaborated to find out the accurate location information of any normal node. Besides, analytical methods are designed to calculate and reduce the localization error using probability distribution function. Performance evaluation of our algorithm shows that there is a trade off betweendeployed number of beacon nodes and localization error, and average localization time of the network can be increased with increase in the number of normal nodes deployed over a region.
Keywords: wireless sensor networks; localization; error estimation

Article Statistics

Load and display the download statistics.

Citations to this Article

Cite This Article

MDPI and ACS Style

Sahoo, P.K.; Hwang, I.-S. Collaborative Localization Algorithms for Wireless Sensor Networks with Reduced Localization Error. Sensors 2011, 11, 9989-10009.

AMA Style

Sahoo PK, Hwang I-S. Collaborative Localization Algorithms for Wireless Sensor Networks with Reduced Localization Error. Sensors. 2011; 11(10):9989-10009.

Chicago/Turabian Style

Sahoo, Prasan Kumar; Hwang, I-Shyan. 2011. "Collaborative Localization Algorithms for Wireless Sensor Networks with Reduced Localization Error." Sensors 11, no. 10: 9989-10009.

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