By Topic

Design and Evaluation of Localization Protocols and Algorithms in Wireless Sensor Networks Using UWB

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Di Wui ; Donald Bren Sch. of ICS, Univ. of California, Irvine, CA ; Lichun Bao ; Min Du ; Renfa Li

Localization has many important applications in wireless sensor networks (WSNs). A variety of technologies, such as acoustic, infrared and UWB (ultra-wide band) media have been utilized for localization purposes. In this paper, we propose a holistic, bottom-up design of a UWB-based communication architecture and related protocols for localization in WSNs. A new UWB coding method, called U-BOTH (UWB based on orthogonal variable spreading factor and time hopping), is utilized for minimum interference communication, and an ALOHA-type channel access method and a message exchange protocol are used to collect distance information in WSNs. We derive the corresponding UWB path loss model in order to apply the maximum likelihood estimation (MLE) method to compute the distances between neighbor nodes using the RSSI information. Then, we propose NMDS-MLE (non-metric multidimensional scaling and maximum likelihood estimation) localization algorithms based on the two types of distance information: estimated distance and Euclidean distance. The performance of the system is validated using theoretic analysis and simulations.

Published in:

Performance, Computing and Communications Conference, 2008. IPCCC 2008. IEEE International

Date of Conference:

7-9 Dec. 2008