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Autonomous Devices : Adaptive architecture & Sensor integration for IoT ultra-low-power radios

Autonomous Devices : Adaptive architecture & Sensor integration for IoT ultra-low-power radios. Adaptive architecture & Sensor integration for IoT ultra-low-power radios. Background & Context. →. &. 60. Oki. Status @ 2010.

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Autonomous Devices : Adaptive architecture & Sensor integration for IoT ultra-low-power radios

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  1. Autonomous Devices : Adaptive architecture & Sensor integration for IoT ultra-low-power radios

  2. Adaptive architecture & Sensor integration for IoT ultra-low-power radios • Background & Context → & 60 Oki Status @ 2010 To collaborate on IC design of low power & low cost ultra-narrow-band transceivers for dedicated Metropolitan Network -90dBm 50 40 Jennic Total Current Rx (mA) Ex : ZigBee Rx 30 C → G in 20 T A To collaborate on ultra low power radios in Body Area Network 10 -100 dBm D E 0 → 2mW in 3 years Today’s Objectives : Autonomous devices • →Industrial ZigBee < 1mW or 1nJ/B at 1MB/S

  3. Adaptive architecture & Sensor integration for IoT ultra-low-power radios • Adaptability, anywhere, anytime Cross Layer Design • Sense and React represents an interesting approach to drastically reduce the power of systems or increase its energy efficiency. →Towards autonomoussystems, adaptive to their environment • Multi-applicative platforms → Towards systems reconfiguration & wide performance range • Integration on CMOS FDSOI 28nm → Self Healing & Self Testing is needed for supply, temperature and technology variability Adaptive Systems

  4. Contact: dominique.morche@cea.fr Project Idea: Adaptive architecture & Sensor integration for IoT ultra-low-power radios EU call: Project Idea short description: Development of new wireless nodes and network for IoT applications • Short Description: • Cross Layer Design of protocol and nodes • Adaptive & Self Healing system, Event Driven Systems • Energy efficient RF Transceivers (reconfigurable RF & Analog blocks) • Wake-up Radio • Spectral Sensing • Potential Applications: • Environment and Industrial Control • Home Automation • M2M, IoT • Competences needed: • Targeted Applications • IC Design, Low Power computing on FDSOI 28nm and beyond • Protocols and Networks • Energy Harvesting and Management • Automatic control

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