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Enhancing Extensive and Remote LoRa Deployments through MEC-Powered Drone Gateways.

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Summary
This summary is machine-generated.

Drones equipped with Low-Power Wide Area Network (LPWAN) gateways enhance connectivity for remote Internet of Things (IoT) devices. This airborne solution improves network resilience and data accessibility in challenging environments.

Keywords:
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Area of Science:

  • Computer Engineering
  • Wireless Communication Networks
  • Internet of Things (IoT)

Background:

  • Deploying Internet of Things (IoT) devices in remote areas for smart applications like agriculture and disaster management requires robust network connectivity.
  • Traditional Low-Power Wide Area Network (LPWAN) deployments face challenges in coverage and resilience due to infrastructure limitations and physical obstructions in remote or rugged terrains.
  • Existing solutions struggle to provide reliable network access in areas lacking power or wired infrastructure, hindering effective IoT device operation.

Purpose of the Study:

  • To propose and validate an innovative system architecture using drones equipped with LPWAN gateways to create dynamic, airborne network segments.
  • To enhance connectivity and network resilience for IoT devices deployed in remote, inaccessible, or disaster-affected smart spaces.
  • To leverage Multi-Access Edge Computing (MEC) on-board drones for localized data processing, optimizing communication and resource utilization.

Main Methods:

  • Development of a novel system architecture integrating LPWAN gateways onto drones, enabling airborne network coverage.
  • Implementation of Multi-Access Edge Computing (MEC) capabilities on the drone-borne platform to host Virtualized Networking Functions (VNFs) for on-site data processing.
  • Validation through a real-world test-bed experiment and comprehensive computer simulations to evaluate system performance.

Main Results:

  • Demonstrated significant improvements in communication link availability and expanded covered areas compared to traditional fixed LPWAN deployments.
  • Showcased the effectiveness of LoRa-drone gateways in overcoming challenges posed by orography, buildings, and lack of infrastructure in remote zones.
  • Validated the capability of the system to collect, pre-process, and forward data efficiently, even with intermittent connectivity.

Conclusions:

  • The proposed LoRa-drone gateway system offers a viable and effective solution for enhancing IoT network coverage and resilience in challenging remote environments.
  • The integration of MEC on drones provides substantial benefits in data processing and resource management, crucial for efficient remote IoT operations.
  • This airborne networking approach significantly improves connectivity performance, particularly in vast monitored areas and difficult-to-access locations.