FLoRa: Flight-Assisted Data Collection from Duty Cycling LoRa Nodes under Energy Constraints
Data collection using Unmanned Aerial Vehicles (UAVs) is challenging when LoRa IoT Devices (IoTDs) duty-cycle to conserve battery. Under energy constraints, a UAV must decide which IoTDs to visit, in what order, where to hover, and how many times to probe each node, while time-based data freshness decays. Tractably solving this problem requires a multi-level optimization architecture: discrete combinatorial optimization for routing, continuous global optimization for spatial positioning, and sequential decision-making under uncertainty. We propose FLoRa, a Flight-assisted LoRa data collection architecture using Simulated Annealing (SA) for path planning, Covariance Matrix Adaptation Evolu...
| Authors | Naresh Babu Kakarla, V. Mahendran |
|---|---|
| Primary category | cs.NI |
| Published | 6 October 2026 |
| Last updated at source | 6 October 2026 |
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