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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Energy Efficient Multicast Communication in Cognitive Radio Wireless Mesh Network.

Imran Baig1, Najam Ul Hasan1, Prajoona Valsalan1

  • 1ECE Department, Dhofar University, Salalah 211, Oman.

Sensors (Basel, Switzerland)
|July 28, 2022
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Summary

This study introduces an energy-efficient algorithm for cognitive radio multicast sessions. It minimizes channels and relay nodes, outperforming traditional flooding methods.

Keywords:
bipartite graphcognitive radio networkmulticastingwireless mesh network

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Area of Science:

  • Networking
  • Wireless Communication
  • Cognitive Radio

Background:

  • Multicasting is essential for many network applications.
  • Cognitive radio (CR) networks address spectrum scarcity but introduce new networking challenges.
  • Efficient spectrum and node utilization are critical for CR-based multicast sessions.

Purpose of the Study:

  • To develop an algorithm for energy-efficient multicasting in cognitive radio networks.
  • To minimize the number of channels and relay nodes used in multicast sessions.
  • To address the challenge of sporadic spectrum availability in CR environments.

Main Methods:

  • A novel algorithm is proposed for hop-to-hop communication.
  • The algorithm focuses on selecting the minimum required relay nodes and channels.
  • It considers the dynamic and sporadic nature of spectrum availability.

Main Results:

  • The developed algorithm effectively reduces energy consumption.
  • It minimizes the number of transmissions and relay nodes.
  • The proposed method shows superior performance compared to the flooding method in terms of energy efficiency.

Conclusions:

  • The proposed algorithm offers an efficient solution for cognitive radio multicast.
  • It leads to reduced energy usage and better spectrum utilization.
  • This approach supports more simultaneous multicast sessions by sparing resources.