Skip to content
ATIS 5G KPI Database
  • Home
  • Application Groups
    • Agriculture 4.0
    • Entertainment
    • Environmental Monitoring
    • Industrial Automation
    • Intelligent Transportation System
    • Nature Life
    • Public Safety
    • Smart Cities
    • Smart Energy
    • Smart Health & Wellness
    • Uncrewed Aerial Vehicles (UAV)
  • Devices
    • All Devices
  • Definitions
    • KPIs
    • Slice Types
    • References
  • Discussion
  • Home
  • Application Groups
    • Agriculture 4.0
    • Entertainment
    • Environmental Monitoring
    • Industrial Automation
    • Intelligent Transportation System
    • Nature Life
    • Public Safety
    • Smart Cities
    • Smart Energy
    • Smart Health & Wellness
    • Uncrewed Aerial Vehicles (UAV)
  • Devices
    • All Devices
  • Definitions
    • KPIs
    • Slice Types
    • References
  • Discussion

Applications

Disaster Prediction and Monitoring

  • Use Case: Earthquake Prediction: • Utilize a network of seismic sensors to detect early signs of earthquakes

    Device(s)

    Seismic sensors

    KPIs

    E2E Latency: Very low: < 1ms
    Jitter: Sensitive
    Data Rate: Very high data rate: ≥ 100 Mbps
    Availability: Best Effort
    Criticality: Non critical
    Data Reporting Mode: Time Driven
    Mobility (type/speed): Fixed
    Service Continuity: Not Required
    Device Autonomy (Power Constrained): Yes
    Priority Services (NS/EP): Yes (it would get priority treatment)
    Guaranteed Service: GBR
    Security: Medium
    Lifespan: Short: 2-4 years
    Device Density: High (≥10000)
    Slice Type
    Slice Type: eMBB
  • Use Case: Flood Forecasting: • Measure rainfall and water levels in real-time to predict and monitor flood situations

    Device(s)

    Rain Gauges: Modern rain gauges often come equipped with wireless communication capabilities, allowing them to transmit data on rainfall amounts to monitoring centers in real time. Stream Gauges: Many stream gauges are designed to wirelessly transmit data on water levels and flow rates, providing crucial information for flood forecasting.Soil Moisture Sensors: These sensors can be equipped with wireless communication to send soil moisture data to a central system, which helps in assessing the risk of flooding, especially in areas prone to flash floods. Pressure Transducers: Used in various water bodies, these sensors can wirelessly transmit water pressure data, which is then used to calculate water levels. Ultrasonic Sensors: These can be set up to measure water levels and then transmit the data wirelessly to a central monitoring system. Anemometers: Modern anemometers can send wind data wirelessly to meteorological centers, contributing to broader weather pattern analysis for flood prediction. Tide Gauges: In coastal areas, tide gauges equipped with wireless communication capabilities transmit sea level data, which is crucial for predicting storm surges and coastal floods. [1]

    Marin-Perez, R.; García-Pintado, J.; Gómez, A.S. A Real-Time Measurement System for Long-Life Flood Monitoring and Warning Applications. Sensors 2012, 12, 4213-4236. https://doi.org/10.3390/s120404213

    KPIs

    E2E Latency: Very low: < 1ms
    Jitter: Sensitive
    Data Rate: Very high data rate: ≥ 100 Mbps
    Availability: Best Effort
    Criticality: Non critical
    Data Reporting Mode: Time Driven
    Mobility (type/speed): Fixed
    Service Continuity: Not Required
    Device Autonomy (Power Constrained): Yes
    Priority Services (NS/EP): Yes (it would get priority treatment)
    Guaranteed Service: GBR
    Security: Medium
    Lifespan: Short: 2-4 years
    Device Density: High (≥10000)
    Slice Type
    Slice Type: eMBB
ATIS 5G KPI Database
  • 5gkpi@atis.org
  • 202-628-6380
  • Notice of Disclaimer & Limitation of Liability

© ATIS 2024 All Rights Reserved.

Submit Feedback
ATIS 5G KPI Database