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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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An energy-aware routing method using firefly algorithm for flying ad hoc networks.

Jan Lansky1, Amir Masoud Rahmani2, Mazhar Hussain Malik3

  • 1Department of Computer Science and Mathematics, Faculty of Economic Studies, University of Finance and Administration, Prague, Czech Republic.

Scientific Reports
|January 24, 2023
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Summary
This summary is machine-generated.

This study introduces an energy-aware routing scheme for flying ad-hoc networks (FANETs). The new method enhances drone communication efficiency by optimizing routes based on energy and connection quality, outperforming existing protocols.

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Area of Science:

  • Computer Science
  • Network Engineering
  • Wireless Communication

Background:

  • Flying ad-hoc networks (FANETs) utilize numerous drones for diverse applications, facing challenges like high node speeds and dynamic topologies.
  • Efficient routing is critical in FANETs due to their unique operational environment and inherent complexities.
  • Existing routing protocols struggle to address the specific demands of energy efficiency and connection stability in FANETs.

Purpose of the Study:

  • To propose a novel energy-aware routing scheme for Flying Ad-hoc Networks (FANETs).
  • To enhance network performance by optimizing route selection based on residual energy and connection quality.
  • To improve the efficiency and reliability of drone communication in dynamic network environments.

Main Methods:

  • Developed an energy-aware routing scheme inspired by Optimized Link State Routing (OLSR).
  • Introduced a new technique to estimate connection quality using hello packet ratios and connection duration.
  • Employed the Firefly Algorithm for selecting Multipoint Relays (MPRs) based on energy, connection quality, and node degree.

Main Results:

  • The proposed routing scheme demonstrated superior performance compared to Greedy Optimized Link State Routing (G-OLSR) and Optimized Link State Routing (OLSR).
  • Significant improvements observed in delay, packet delivery rate, and throughput.
  • Reduced energy consumption was achieved, although with a slight increase in routing overhead compared to G-OLSR.

Conclusions:

  • The proposed energy-aware routing scheme effectively addresses routing challenges in FANETs.
  • The integration of energy efficiency and connection quality metrics optimizes drone network performance.
  • This approach offers a promising solution for reliable and efficient communication in FANET applications.