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Low-Power TinyOS Tuned Processor Platform for Wireless Sensor Network Motes
Date Issued
2010-05-03
Date Available
2015-09-25T15:48:52Z
Abstract
In this article we describe a low power processor platform for use in Wireless Sensor Network (WSN) nodes (motes). WSN motes are small, battery-powered devices comprised of a processor, sensors, and a Radio Frequency transceiver. It is expected that WSNs consisting of large numbers of motes will offer long-term, distributed monitoring, and control of real-world equipment and phenomena. A key requirement for these applications is long battery life. We investigate a processor platform architecture based on an application-specific programmable processor core, System-On-Chip bus, and a hardware accelerator. The architecture improves on the energy consumption of a conventional microprocessor design by tuning the architecture for a suite of TinyOS based WSN applications. The tuning method used minimizes changes to the Instruction Set Architecture facilitating rapid software migration to the new platform. The processor platform was implemented and validated in an FPGA-based WSN mote. The benefits of the approach in terms of energy consumption are estimated to be a reduction of 48% for ASIC implementation relative to a conventional programmable processor for a typical TinyOS application suite without use of voltage scaling.
Sponsorship
Enterprise Ireland
Science Foundation Ireland
Type of Material
Journal Article
Publisher
Association for Computing Machinery (ACM)
Journal
Transactions on Design Automation of Electronic Systems
Volume
15
Issue
3
Start Page
23.1
End Page
23.17
Copyright (Published Version)
2010 ACM
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
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Low_Power_TinyOS_Tuned_Processor_Platform_for_Wireless_Sensor_Network_Motes.pdf
Size
556.56 KB
Format
Adobe PDF
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