Dynamic Task Reallocation in UAV-Assisted LoRaWAN Networks for Smart Farming

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Authors: Samar Sindian, Imad Jawhar, Mohammad Ali Al Kadery, Hussein Hachem
Cited by: 1
References: 13

Abstract

Smart farming increasingly relies on wireless sensor networks for environmental monitoring; however, collecting data from distributed sensors remains challenging in large rural fields where fixed gateways are infeasible. This paper proposes CRAFT (Cooperative Relay-Aware Flight Tasking), a decentralized dynamic task reallocation framework for multi-UAV LoRaWAN-based data muling. CRAFT partitions the monitored area into relay-assisted zones and enables unmanned aerial vehicles (UAVs) to cooperatively and adaptively reassign sensing tasks during flight based on workload disparity and received signal strength indication (RSSI). A model-based performance evaluation, derived from analytical mobility and communication assumptions, indicates that CRAFT reduces mission completion time by approximately 23%, significantly improves energy balance across UAVs, and maintains high packet delivery reliability compared to static partitioning and greedy reassignment baselines. These results highlight the potential of lightweight cooperative control for scalable and energy-efficient UAV-assisted LoRaWAN networks in smart farming applications.

Fields of Study & Subjects

IoT Networks and Protocols IoT and Edge/Fog Computing UAV Applications and Optimization

Publication details

Journal / source
2026 IEEE 5th International Multidisciplinary Conference on Engineering Technology (IMCET)
Publisher
IEEE
Pages
1–6
Publication date
15 April 2026