LoRaWAN Dense Indoor Sensor Network Transmission Metadata

14 million transmissions from 390 sensors collected between February and September 2020. The data was received by 3 gateways across 8 floors and distances up to 64 meters. This indoor Long Range Wide Area Network metadata was presented by Jascha Grübel of ETH Zurich.

Use Cases

• Analyzing signal propagation and packet loss in dense indoor environments based on transmission metadata.
• Modeling gateway performance and network capacity based on data from 3 gateways across 8 floors.
• Studying temporal patterns in IoT network traffic based on 7 months of collected transmissions.
• Evaluating LoRaWAN protocol behavior under dense deployment conditions based on metadata from 390 sensors.

Strengths

• 14 million transmissions provide a substantial volume for analysis.
• Data spans 7 months (February to September 2020), offering temporal depth.
• Covers a multi-floor indoor environment with 3 gateways and distances up to 64 meters.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Data freshness is unverified as the last update date is unknown.
• The description does not specify file formats or data size, which may complicate access.

Provenance

Source

Jascha Grübel, ETH Zurich

Collection Method

Collected from a prototype indoor LoRaWAN network.

Time Range

February 2020 to September 2020

Freshness

The dataset is described as being regularly updated, but the last update date is unknown.

Geography

Indoor environment spanning 8 floors.