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An Innovative Clustering Hierarchical Protocol for Data Collection from Remote Wireless Sensor Networks Based

Syed Luqman Shah1, Ziaul Haq Abbas2, Ghulam Abbas3

  • 1Telecommunication and Networking (TeleCoN) Research Center, GIK Institute of Engineering Sciences and Technology, Topi 23640, Pakistan.

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Summary
This summary is machine-generated.

This study introduces an energy-efficient UAV-assisted clustering protocol (EEUCH) for remote IoT applications. EEUCH significantly enhances data collection, network stability, and energy efficiency in wireless sensor networks (WSNs).

Keywords:
Internet of Things (IoT)energy efficiencynetwork lifetimerouting protocolunmanned aerial vehicles (UAVs)wireless sensor networks (WSNs)

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Wireless Communication

Background:

  • Remote Internet of Things (IoT) applications require reliable and energy-efficient data collection from wireless sensor networks (WSNs).
  • Existing routing protocols often struggle with energy constraints and reliability in remote WSN deployments.
  • Unmanned Aerial Vehicles (UAVs) offer a promising solution for data gathering in challenging environments.

Purpose of the Study:

  • To propose a novel, reliable, and energy-efficient UAV-assisted clustering hierarchical (EEUCH) protocol for remote WSN-based IoT applications.
  • To enhance data collection efficiency and network lifespan compared to existing protocols.

Main Methods:

  • Developed the EEUCH protocol utilizing UAVs equipped with wake-up radios (WuRs) for data collection from ground sensor nodes (SNs).
  • Implemented a clustering mechanism where SNs join UAVs based on wake-up calls (WuCs) and TDMA scheduling for data transmission.
  • Simulated the EEUCH protocol and compared its performance against six benchmark routing protocols, including LEACH.

Main Results:

  • EEUCH demonstrated an 8.7 times increase in network stability time and a 12.55 times improvement in energy efficiency over the LEACH protocol.
  • The protocol achieved 5.05 times more data collection from the field of interest (FoI) compared to LEACH.
  • EEUCH effectively eliminated cluster overlapping and outperformed existing protocols in various WSN scenarios.

Conclusions:

  • The proposed EEUCH protocol offers a significant advancement in reliable and energy-efficient data collection for remote IoT applications using UAVs.
  • EEUCH enhances overall network performance, prolongs network lifespan, and increases data throughput in WSNs.
  • The findings validate EEUCH's superiority over conventional routing protocols for heterogeneous and homogeneous WSNs.