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Related Experiment Video

Updated: Aug 30, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

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UBER: UAV-Based Energy-Efficient Reconfigurable Routing Scheme for Smart Wireless Livestock Sensor Network.

Mohammed A Alanezi1, Abdulazeez F Salami2, Yusuf A Sha'aban3

  • 1Department of Computer Science and Engineering Technology, University of Hafr Al Batin, Hafr Al Batin 31991, Saudi Arabia.

Sensors (Basel, Switzerland)
|August 26, 2022
PubMed
Summary

This study introduces a UAV-based energy-efficient reconfigurable routing (UBER) scheme to solve coverage loss and energy depletion in wireless livestock sensor networks. UBER significantly improves network stability, load balancing, and reduces failures compared to existing methods.

Keywords:
cattleherd cluster-based routingperformance analysisunmanned aerial vehiclewireless livestock sensor network

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Area of Science:

  • Wireless Sensor Networks
  • Internet of Things (IoT)
  • Agricultural Technology

Background:

  • Wireless livestock sensor networks face challenges with coverage loss and rapid energy depletion, hindering efficient monitoring.
  • Existing routing schemes often struggle to maintain network stability and energy efficiency in dynamic environments.

Purpose of the Study:

  • To propose and evaluate a UAV-based energy-efficient reconfigurable routing (UBER) scheme for smart wireless livestock sensor networks.
  • To address critical issues of network coverage loss and rapid energy depletion.

Main Methods:

  • The UBER scheme utilizes dynamic residual energy thresholding, robust cluster-to-UAV link formation, and UAV-assisted network recovery.
  • Performance was assessed across various UAV altitudes and compared against hybrid heterogeneous routing (HYBRID) and mobile sink using directional virtual coordinate routing (MS-DVCR).

Main Results:

  • Operating at a 230m UAV altitude showed significant improvements in network stability (31.58%), load balancing (61.67%), and topology fluctuation (75.57%).
  • UBER demonstrated superior performance over HYBRID and MS-DVCR, achieving gains of 46.48% in energy consumption, 47.33% in network coverage, and reducing end-to-end delay by 58.56%.

Conclusions:

  • The UBER scheme offers a highly efficient solution for wireless livestock sensor networks, effectively mitigating coverage loss and energy depletion.
  • UBER provides competitive performance, outperforming existing routing schemes in key metrics crucial for smart agricultural applications.