2023–2024
Low Power Wireless Sensor Networking
We study low-power wireless sensor networks by estimating interference graphs and link connectivity in multi-hop BLE systems. Enabled by our hardware design, nodes can probe the channel during ongoing communication without reserving additional dedicated time-frequency resources, thereby supporting efficient and reliable network operations.
