Paper Info
Title
Collaborative localization algorithms for wireless sensor networks with reduced localization error.
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 between deployed 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.
Year
DOI
Venue
2011
10.3390/s111009989
SENSORS
Keywords
Field
DocType
wireless sensor networks,localization,error estimation
Beacon,Key distribution in wireless sensor networks,Geographic information system,Computer science,Computer communication networks,Algorithm,Computer network,Global Positioning System,Probability density function,Wireless sensor network
Journal
Volume
Issue
ISSN
11
10.0
1424-8220
Citations 
PageRank 
References 
14
0.70
0
Authors
2
Name
Order
Citations
PageRank
Prasan Kumar Sahoo122720.59
I-Shyan Hwang213627.29