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 4 June 2007 - NOTERE07

2. 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 4 June 2007 - NOTERE07

3. Environment Surveillance Telemedicine Communication protocols ...... HW Local Surveillance Kernel Animal Surveillance Vehicles Tracking VLSI 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. 4 June 2007 - NOTERE07

4. 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. 4 June 2007 - NOTERE07

5. 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. 4 June 2007 - NOTERE07

6. 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. 2006 2002 1999 4 June 2007 - NOTERE07

7. 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 4 June 2007 - NOTERE07 LiveWiFiNode

8. LiveNode and Component based Component based concept: scalability, fault-tolerance and flexibility. LiveZigBeeNode, LiveWiFiNode and LiveGPRSNode WS SPI bus RS232 Master LiveNode1 Slave0 LiveNode2 Slave1 LiveNode3 I²C bus 4 June 2007 - NOTERE07

9. 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. 4 June 2007 - NOTERE07

10. 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. 4 June 2007 - NOTERE07

11. 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). 4 June 2007 - NOTERE07

12. LiveNode Application: environmental data collection (precision agriculture) 4 June 2007 - NOTERE07

13. Smart care: STAR project • STAR Project: • Remote real-time continuous cardiac arrhythmias detection service • Client/Server Architecture 4 June 2007 - NOTERE07

14. MobiPlus Project Gas Sensor WS Disabled passengers RFID GPS 4 June 2007 - NOTERE07

15. 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. 4 June 2007 - NOTERE07

16. Thank you for your attention! 4 June 2007 - NOTERE07