By Topic

Data gathering in high-density wireless sensor networks using hierarchical clustering

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

6 Author(s)
Kishino, Y. ; NTT Commun. Sci. Labs., Kyoto, Japan ; Sakurai, Y. ; Kamei, K. ; Yanagisawa, Y.
more authors

The method proposed here gathers data in high- density wireless sensor networks in real-time. It determines network topology by hierarchical clustering to avoid radio collision, which enables us to gather data with minimum data latency from numerous high-density sensor nodes. The analysis of our proposed tree-based data gathering protocol and real experiments using 39 real sensor nodes show that the proposed data gathering method can reduce data latency by hierarchical clustering.

Published in:

Wireless Communication Systems. 2008. ISWCS '08. IEEE International Symposium on

Date of Conference:

21-24 Oct. 2008