期刊论文详细信息
Sensors
Collaborative Localization Algorithms for Wireless Sensor Networks with Reduced Localization Error
Prasan Kumar Sahoo1 
[1] Department of Computer Science and Information Engineering, Chang Gung University, Kwei-Shan, 33302, Taiwan
关键词: wireless sensor networks;    localization;    error estimation;   
DOI  :  10.3390/s111009989
来源: mdpi
PDF
【 摘 要 】

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 tradeoff 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.

【 授权许可】

CC BY   
© 2011 by the authors; licensee MDPI, Basel, Switzerland.

【 预 览 】
附件列表
Files Size Format View
RO202003190047515ZK.pdf 2098KB PDF download
  文献评价指标  
  下载次数:6次 浏览次数:13次