By Topic

High-Performance Temporal Object-Tracking Algorithm Using Virtual Targets in Wireless Sensor Networks

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

2 Author(s)
Wen Ouyang ; Dept. of Comput. Sci. & Inf. Eng., Chung Hua Univ., Hsinchu, Taiwan ; Yi-Hao Chen

Localization and object tracking are important issues in wireless sensor networks. Many previous studies assume that a fixed equation can relate the received signal strength indication (RSSI) to the distance between two nodes. However, this assumption isn't suitable for real world since the RSSI can be easily affected by many factors. Thus, we adopt a more practical assumption that the higher the RSSI becomes, the closer the two nodes are, and vice versa. In our work, two tracking algorithms are proposed for random anchor deployment scenarios. The first one is a hybrid method while in the second algorithm distributed stronger signal virtual target algorithm (SSVT), a novel method to find virtual target is provided to estimate the current object location. Simulation results show that SSVT is more accurate, stable, and adaptable than previous work, especially for sparse anchor deployment networks which are more cost-effective.

Published in:

Mobile Ad-hoc and Sensor Networks (MSN), 2011 Seventh International Conference on

Date of Conference:

16-18 Dec. 2011