LiveNode: LIMOS versatile embedded wireless sensor node

1
LiveNode LIMOS versatile embedded wireless
sensor node

• Kun Mean HOU
• Laboratoire LIMOS UMR 6158 CNRS, Université
  Blaise Pascal Clermont-Ferrand
• France

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Presentation outline

• Introduction
• Motivations and Objective
• Trend of design and state-of-the art
• Key features of LiveNode hardware module
• LIMOS LiveNode operating system
• Current LiveNode applications Environmental data
  collection, smart care and IVC (MobiPlus project)
• Conclusion and ongoing work

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Introduction motivation and objective

• WSN requires technologies from different areas
• Computing
• Basic Software Operating system
• Algorithm Application-specific algorithm
• Hardware Application-specific sensor
  architecture
• Communication embedded wireless protocol stack
• Sensing ECG sensor, gas sensor (NO2, O3) etc.
• Applications
• Smart home, Smart care, Precision agriculture,
  Intelligent transport system,
• Industrial and manufacturing automation,
  distributed robotics,
• Military arena etc.

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State-of-the art and design trend

• Two main development and design trends
• Off-the-shell design Wireless Sensor node
• µNode, BTnode, TinyNode, EYES, Mica, TmoteSky
• Simple wireless sensor node temperature, light
  sensor etc.
• Recent wireless node (TmoteSky, iMote )
• 16 or 32 bit microcontroller
• Full compliance IEEE802.14.5 standard
• Short range (200m).
• SoC Wireless Sensor Node.

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Motivation

• Our main goal is to implement SoC wireless sensor
• A more power-full WS enables to
• Explore more complex applications IVC
• Validate component based concept (hardware and
  software).
• The key constraints of WSN is energy consumption.
  Low energy consumption is indispensable to
  implement long life, cost effective, and reliable
  WS.
• Application-specific unified hardware and
  software approach
• Algorithm trade-off between complexity,
  efficiency and resource consumption,
• Hardware component based approach,
• Micro-kernel resource and energy consumption
  aware,
• Network topology and protocol,
• Sensing.

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LiveNode hardware module

• Key features of LiveNode
• One AT91SAM7S256 (32 bit RISC ARM7TDMI core)
  running at 48MHz,
• One standard wireless access medium IEEE802.11b
  (WiFi) or IEEE802.15.4 (ZigBee) connected via a
  serial port (SPI or RS232),
• One standard GSM access medium connected via
  UART3,
• One GPS receiver connected via UART0,
• One versatile signal conditioner enable to adapt
  to different type of sensors such as soil
  humidity sensor, ECG signal lead, temperature
  sensor, light sensor etc.
• Three 8 bit extension connectors SPI etc.

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LiveNode Energy Consumption

• The LiveNode PCB board is designed to be equipped
  with different wireless access medium
• Short range LiveZigBeeNode 70mA (200m)
• Long range LiveZigBeeNode 270mA (1500m)
• Short range LiveWiFiNode 400mA (200m)

LiveZigBeeNode
LiveWiFiNode
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LiveNode and Component based

• Component based concept scalability,
  fault-tolerance and flexibility.
• LiveZigBeeNode, LiveWiFiNode and LiveGPRSNode

WS
SPI bus
RS232
Master LiveNode1
Slave1 LiveNode3
Slave0 LiveNode2
I²C bus
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LIMOS LiveNode operating system

• Most of the existing wireless sensor nodes run
  three types of real-time operating systems one
  is based on event driven (TinyOS and Contiki),
• The second one is based on classical
  multi-threading (NutOS and MANTIS).
• The third one, AmbientOS is based on data centric
  multi-tasking.
• Complex real-time application
• Component based concept implementation.

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LIMOS LIghtweight Multi-threading Operating
System

• Key features of LIMOS
• LIMOS combines the advantages of event driven and
  multi-threading concept. Thus LIMOS can support a
  large variety of WSN applications ranging from
  simple single-task to multi-task hard real-time
  applications.
• LINDA concept ease implementation of component
  based concept.

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LiveNode platform application MobiPlus

• Presently LiveNode is used as a prototype to
  experiment three projects in different areas
  inter vehicle communication (MobiPlus project),
  environmental data collection (Net-ADDED European
  project) and smart care (LiveCare).

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LiveNode Application environmental data
collection (precision agriculture)
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Smart care STAR project

• STAR Project
• Remote real-time continuous cardiac arrhythmias
  detection service
• Client/Server Architecture

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MobiPlus Project
Gas Sensor

WS
Disabled passengers
RFID
GPS
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Conclusion and ongoing work

• LiveNode platform is used in different
  applications IVC, environmental data collection,
  smart care etc. The obtained results are
  satisfied, and meet the application requirement
  constraints.
• LiveNode platform is also used to valid component
  based concept and evaluate the resource
  consumption of IVC and smart home/care
  applications.
• In collaboration with other laboratories, we
  start to implement an SoC WS dedicated to smart
  home/care MEM and wireless access medium.

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• Thank you for your attention!