By Topic

Cluster-based location report for person tracking 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
$33 $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)
Yongkai Huo ; Department of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui Province, China ; Liusheng Huang ; Hongli Xu ; Ben Xu

In traditional tracking systems, the mobiles report their locations periodically. With the number of the mobiles increasing, these methods result in high loss rate of packets and rapid depletion of the network energy. In practice, we observe that some mobiles are so close to each other that we are informed the same location from the localization algorithm. Thus it is necessary and possible to reduce message complexity through merging the location messages. By exploiting the Received Signal Strength (RSS), this paper proposes a human-Behavior based Mobile Clustering Mechanism (BMC) for Rf-based Person Tracking Systems. It constructs clusters according to the distance between mobiles and maintains clusters efficiently. In BMC, only the cluster-heads report locations periodically instead of each node, thereby decreasing the message complexity greatly. Signal interference will wobble the clusters in practical environment, so it degrades the performance of BMC dramatically. To address the issue, Signal Smoothness is developed. The simulation shows that BMC based location report outperforms traditional methods by 64% of message reduction on average in impartial testing scenes.

Published in:

Communication Technology, 2008. ICCT 2008. 11th IEEE International Conference on

Date of Conference:

10-12 Nov. 2008