By Topic

RHA: A robust hybrid architecture for information processing 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

4 Author(s)
Thanh Dang ; Dept. of Comput. Sci., Portland State Univ., Portland, OR, USA ; Bulusu, N. ; Wu-chi Feng ; Wen Hu

The paradox of wireless sensor networks (WSNs) is that the low-power, miniaturized sensors that can be deeply embedded in the physical world, are too resource-constrained to capture high frequency phenomena. In this paper, we propose RHA, a robust hybrid architecture for information processing to extend sensing capacity while conserving energy, storage and bandwidth. We evaluate RHA with two real world applications, bio-acoustic monitoring and spatial monitoring. RHA provides accurate signal reconstruction with significant down sampling compared to traditional multi-rate sampling, is robust to noise, enables fast triggering and load balancing across sensors.

Published in:

Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2010 Sixth International Conference on

Date of Conference:

7-10 Dec. 2010