What question did this study set out to answer?

To develop a reliable cold chain logistics system using UAVs for transporting temperature-sensitive goods in mountainous areas.

March 14, 2026International Journal of Information and Communication Technology0 citationsOpen Access

Low-altitude UAVs and IoT-empowered fresh cold chain logistics system for mountainous areas

XFXingbing FanAnhui Business College

Key Points

To develop a reliable cold chain logistics system using UAVs for transporting temperature-sensitive goods in mountainous areas.
Integrated a UAV-based logistics framework with a hybrid path-planning approach
Utilized genetic algorithms and simulated annealing for optimising delivery routes
Employed onboard IoT sensors to monitor temperature and humidity in real-time
Tested the system using four real-world datasets
Achieved up to a 14% reduction in energy use compared to traditional methods
Improved delivery times during transport
Maintained better temperature stability of cargo in transit

Abstract

Delivering temperature-sensitive goods to remote mountain regions is difficult due to sparse infrastructure and challenging terrain.Unmanned aerial vehicles (UAVs) offer a practical option for fast, last-mile transport in such areas, but ensuring cold-chain reliability during flight remains a problem.We present a UAV-based cold chain logistics framework that integrates a hybrid path-planning approach, combining genetic algorithms with simulated annealing to optimise routes for both energy efficiency and terrain constraints.Onboard IoT sensors continuously record temperature and humidity, allowing real-time intervention if cargo conditions drift from required ranges.Tests with four real-world datasets showed up to a 14% reduction in energy use, faster delivery times, and improved temperature stability compared to baseline planners.These results suggest that combining intelligent routing with in-flight environmental monitoring can make UAV cold-chain delivery more reliable in difficult environments.

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