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RHA: A robust hybrid architecture for information processing in wireless sensor networks

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4 Author(s)
Thanh Dang ; Department of Computer Science, Portland State University, USA ; Nirupama Bulusu ; 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