RESEARCH ACHIEVEMENT FOR ADVANCED TECHNOLOGIES AND APPLICATIONS FOR WIRELESS NETWORKS

Sensor Node Platforms2

Octopus modules were developed by NTHU Octopus X:

CC2430 (or CC2431): 8-bit 8051 + CC2420 8 KB RAM + 128 KB Flash

Octopus I: Compatible with MICAz Octopus II: Compatible with Tmote Sky

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Octopus X Platforms 3

Octopus X-A (28mm*28mm)

Octopus X-B (28mm*28mm)

USB Dongle

Octopus X-C (57mm*31mm)

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Octopus X-Sensor Boards4

Gyroscope+ Three axis accelerometer )

Compass

Temperature sensor

Size: 28mm*18mm

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Summary of Octopus X5

Octopus X can use Zigbee Stack for programming

Octopus X is of 2-Layer design to reduce production cost

Octopus X can be not only programmed from USB interface but also TI programming board.

RF range of Octopus X is up to 150 m Expansion connector design on Octopus X

provides a user interface for sensor boards and dock

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Octopus II Platforms 6

Octopus II (65mm*31mm)

Sensor board (50mm*31mm)

Octopus II Block Diagram112/04/21

Octopus II Kernel – MSP4307

USB ChipUSB

Connector MSP430 Temperature Sensor

Light Sensor

LEDsCC2420

IEEE 802.15.4

USBConnector

Batteries

16-bit MSP430 microcontroller core @8MHz{48KB in-system programmable flash 10KB RAM ADC 12-Bit 8 Channels}

Octopus II Features8

MCU (MSP430F1611) Flash Memory (48KB+256B) RAM (10KB) External Flash (1MB) Five Power-Saving Modes

Radio (CC2420) 2.4GHz IEEE 802.15.4 compliant RF Data rate (250Kbps) RX (18.8mA), TX (17.4mA) Programmable output power RF range ~250m

Sensors Humidity & Temperature sensor Light sensors

50-Pin expansion connector External DC power connector

Octopus II-Sensor Board9

Sensors Humidity & Temperature sensor Light sensors Gyroscope

Integrated X- and Y- axis gyro Three axis accelerometer

Selectable sensitivity (1.5g/2g/4g/6g)

Low current consumption (600uA) Sleep mode (3uA) Low voltage operation (2.2V-3.6V) High sensitivity (800mV/g @ 1.5g)

Sensor board

GyroscopeThree axis accelerometer

Temperature sensorLight sensors

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Summary of Octopus II10

Octopus II is of 2-Layer design to reduce production cost

CC2420 RF Chip – compliant with IEEE 802.15.4 low power protocol

MSP430 microcontroller – the most power saving micro-controller

Expandable flash memory –1 Mbytes RF range of Octopus II is up to 500 m Fully support TinyOS (an open source

embedded system widely used in the world)

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ECO: Wireless Sensor Node Platform

The world smallest wireless sensing platform Features 1cm³, 2 grams include battery & antenna! 10% volume of Mica2DOT RF: 1Mbps, 10 meters range Battery life: 4 Hrs (40mAh)

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Expandability

Top View

Side View

Camera Battery Eco

Eco VGA Camera Eco Module Board

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適用於復健運動之生理資訊追蹤及肢體互動系統

目的 復健的病患對例行性的復健練習動作有所倦怠 復健的病患通常會無法正確的執行復健動作

解決方法 結合各種感測器，利用無線感測網路開發一套可以輔助復健病患，和提供病患自我復健資訊給醫療人員的互動式肢體感測系統系統

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系統設計

無線感測網路動作資料蒐集系統 利用微型化無線感測器 (sensor node)蒐集動作資料，病患動作執行無負擔

高取樣頻率之無線感測網路，提高動作還原之正確性

動作還原

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應用情境示範

Internet

Remote assisted physical rehabilitation

Self-physical-rehabilitation System

ECO Sensor

復健練習時間:2008/02/01

情境:爬樓梯

右腳上升正確次數:86次

左腳上升正確次數:15次

動作：訓練重心往前並跨步100次

右腳:35度左腳:10度

腳部最大彎曲角度

步態之腳底承受壓力圖表右腳左腳

爬樓梯測驗

60分

測驗總積分:

右腳上升:正確 左腳上升:不正確

病患在家進行自主復健

復健醫師專業診斷

復健遊戲

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In-Situ Monitoring of Debris Flows INSIDER: a multi-functional wireless

sensor for monitoring debris flows Wireless battery-powered sensors sitting on

riverbed and drift with debris flow, while collecting data and transmitting them wirelessly to base stations in real time

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INSIDERs

COORDINATOR

COORDINATOR

Debris Flow

Downstream Inhabitants

Downstream Inhabitants

Debris Flow Approaching!

Debris Flow Approaching!

INSIDER Design

Based on Octopus II (MSP430, TI CC2420) Integrate an ADXL330/335 accelerometer

with ±3g 2 D cell alkaline battery to work for 5

months 2 comm. schedules for low power and high

throughput

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整合微軟 SensorMap 與土石流資訊

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Grid Computing19

Taiwan UniGrid A university Grid plaftorm in Taiwan

Medicare Grid A Grid platform for Medicare services

Pisces A P2P Meta-Grid System

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Taiwan Unigrid Services

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Summary of Taiwan Unigrid

The first Grid system designed by researches in Taiwan.

Over 20 organizations join this project and forms a large grid platform.

Provides a series of services and web-based user interfaces for users to use its computing and storage resources with ease.

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Medicare Grid Platform

Medicare Computation Grid Platform Fulfill the computing requirements of

hospitals and Medicare services Medicare Data Grid Platform

Store the EHR with efficient search and manipulation capability

Medicare Grid Management System Standardize the EHR and provide

translation mechanism for different format

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System Architecture

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Medicare Grid Services

Decision Support System Help physicians or medical professionals to

make better decisions for treatment Intelligent Mobile System

Establish an active RFID environment for context acquisition of individuals, environment’s variables and their associated values

Personal Health Protection System Developed for measuring patients’

physiological conditions under a convenient and comfortable circumstance

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Summary of Medicare Grid

Integrate computing and storage resources to form a Medicare-Grid platform and propose an EHR sharing mechanism based on it.

More than 500,000 real EHR samples provided by Taichung Veterans General Hospital are stored in Medicare Grid platform.

Base on the Medicare Grid platform, three Medicare applications has been developed to improve the in-hospital medical services.

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Pisces: A P2P Meta-Grid System Pisces is a P2P meta-grid system towards

the collaboration with automatic grids To achieve the integration of distributed

resources among different grid systems

We propose a meta-grid framework based on the super-peer network to form self-management autonomies in Pisces

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System Architecture

A cross-grid layer built on top of existing autonomic grid systems to realize the Grid-to-Grid federation

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Summary of Pisces

Pisces achieves the collaboration through the federation of autonomic grid systems.

Pisces can harmonize autonomic grids without bringing a heavy burden on existing grid systems.

The scalability of a grid federation can be improved with the convergence of grid systems and P2P paradigm.

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Videos Demo

Gesture Recognition System to Control Humanoid Robot

EcoIMU and UltraMouse Home Remote Control System

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Website

http://meeting.cs.nthu.edu.tw/top_university/index.html

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