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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.