• Technical Challenges

    • Scalability: The data size is small but there are a large number of data points.
    • Security
    • Network
      • Wireless distance
      • Packet loss
    • Power consumption
      • Battery-powered
      • Energy harvesting
      • Wireless power transfer
  • Commonly used computers

    • MSP430
    • Arduino
    • Raspberry Pi (relatively high performance, high power consumption)
  • The most power-consuming aspect during communication

    • Various standards exist (e.g. Bluetooth, Wi-Fi, NFC, ZigBee)
    • Power consumption, communication distance, and speed have a trade-off relationship
      • This is expressed by Shannon’s theorem.
  • To reduce power consumption

    • Reduce the amount of data transmitted
      • Compress data using redundancy
      • However, if the compression process is too complex, it may consume computational power.
    • Increase sleep time
      • Establish rules in advance to minimize the waiting time for receiving data, etc.
    • Reduce communication distance
  • Energy Harvesting

  • Wireless Power Transfer (Source: Information Science Guru)