Skip to main content

Weighted Pattern Matching Algorithm for Indoor Location of Wireless Sensor Networks

Buy Article:

$113.00 plus tax (Refund Policy)

How to effectively apply wireless sensor networks to achieve accurate location information in a complicated indoor environment is a challenging problem. In past years, varied indoor location algorithms have been proposed. The PM (Pattern Matching) mechanism is known as one of the most famous solutions for indoor location. Studies show that it is more accurate and stable than the other mechanisms. However, PM has drawbacks in the high initialization effort needed (higher training patterns). In this paper, we propose a Weighted PM (WPM) algorithm to reduce the initialization effort, further improve the accuracy and the locating stability of PM by weighting the healthiness of beacons to the matching function. Different from the conventional methods, which usually need additional equipment (such as infrared and ultrasound), the proposed WPM method is only based on the embedded RF chip to enhance the location accuracy in the indoor environment. Experiments show that WPM is outstanding over PM, with not only 50% fewer training patterns, but also 20.8% higher location accuracy. The stability of the location accuracy of WPM in indoor environment is up to 1.8 times greater than the others.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Data/Media
No Metrics


Document Type: Research Article

Publication date: 2012-05-01

More about this publication?
  • The growing interest and activity in the field of sensor technologies requires a forum for rapid dissemination of important results: Sensor Letters is that forum. Sensor Letters offers scientists, engineers and medical experts timely, peer-reviewed research on sensor science and technology of the highest quality. Sensor Letters publish original rapid communications, full papers and timely state-of-the-art reviews encompassing the fundamental and applied research on sensor science and technology in all fields of science, engineering, and medicine. Highest priority will be given to short communications reporting important new scientific and technological findings.
  • Editorial Board
  • Information for Authors
  • Subscribe to this Title
  • Terms & Conditions
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more