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Center for Integrated Smart Sensors

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A better IT world for all,
Center for Integrated Smart Sensors is making it with creative SMART IT convergences system technologies, we can make a better
where everyone's dreams come true.
홈 About CISS Research Contents

Research Contents

Low power wireless communication and location-based service platform

TOPIC 1 : Low Power Wireless Transceiver Circuit Platform
Participants

Sang-Gug Lee, KAIST (Electrical Engineering)

Purpose
  • Ultra-low-power wake-up radio development
Research Contents
  • Ultra-low-power wake-up and radio development
    • - Multi-channel low-power wake-up receiver
    • - High-efficiency high-output-power wake-up radio transmitter
    • - ully integrated single-chip wake-up radio transceiver
위내용에대한 이미지
Expected Contribution
  • The wake-up radio can be combined with various main sensor node transceivers based on ZigBee, WPAN, and WBAN standards to prolong battery lifetime by reducing the average power consumption for wireless communication to the extreme.
TOPIC 2 : Low power, High performance IoT Networking Solution
Participants
  • Yi Yung, KAIST (Electrical Engineering)
  • Sae-Young Chung, KAIST (Electrical Engineering)
Purpose
  • Network coding for low-power sensor networks
  • Low power IoT networking solution
  • Real-time video streaming in multi-hop wireless networks
Research Contents
  • Network coding for low-power sensor networks
    • - Interference management for sensor networks
    • - Relaying for networks with many nodes
    • - Network coding algorithm for lower-power sensor networks
    • - Network coding algorithm for nodes with high mobility
    • - Large-scale sensor network testbed consisting of tens of nodes
  • Low power IoT networking solution
    • - Networking module for periodic monitoring sensor application
    • - Low power time synchronization and scheduling protocol
  • Real-time video streaming in multi-hop wireless networks
    • - Link scheduling for optimal energy efficiency
    • - Multi-hop transmission for video surveillance sensors
    • - Improvement of 802.11 DCF algorithm
Expected Contribution
  • The protocols, algorithms, and platforms can play key roles in future wireless sensor networks requiring low energy consumption and low delay.
  • Applying IoT networking solution to structural health monitoring for bridge and building.
  • The smart video sensor networks can prevent crimes by monitoring residential areas and streets as well as provide secure and reliable social infra for controling illegal parking, arresting criminals, and finding missing children.