An implementation of hierarchical signal processing on wireless sensor in TinyOS environment

Authors:
Chris Otto;John P. Gober;Reggie W. McMurtrey;Aleksandar Milenković;Emil Jovanov
Affiliations:
The University of Alabama in Huntsville;The University of Alabama in Huntsville;The University of Alabama in Huntsville;The University of Alabama in Huntsville;The University of Alabama in Huntsville
Venue:
Proceedings of the 43rd annual Southeast regional conference - Volume 2
Year:
2005

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Abstract

Wireless intelligent sensor networks have become a major infrastructure for deeply embedded systems. As these systems typically operate under stringent energy constraints, a careful consideration of computation and communication is crucial for extended system lifetime. To achieve extended lifetime on a limited energy budget the existing sensor platforms feature limited communication bandwidth, processing power, and interfacing capabilities. We propose to augment a general-purpose sensor platform by low-power, intelligent signal processing modules. This approach allows on-sensor parallel signal processing. In this paper we present an implementation of a sensor node featuring 2-tier hierarchical organization. The upper level is realized using the Telos wireless platform, and the lower level is a custom Intelligent Signal Processing Module (ISPM). The ISPM is developed as an application-specific sensor board for health monitoring applications. It features two accelerometers, a bioamplifier, and a microcontroller used for preprocessing and communication with the Telos platform. Telos features ZigBee wireless interface and can communicate to an application server through a network coordinator. The application server represents a third tier in the hierarchical system. The server seamlessly integrates sensors into a wireless body area network of physiological sensors. We describe the system architecture and software support implemented in TinyOS environment.