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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Performance Evaluation of Multilayer Clustering Network Using Distributed Energy Efficient Clustering with Enhanced

Jyoti Bhola1, Mohammad Shabaz2, Gaurav Dhiman3

  • 1Department of ECE, NIT, Hamirpur, India.

Wireless Personal Communications
|August 30, 2021
PubMed
Summary
This summary is machine-generated.

A new Distributed Energy Efficient Clustering Protocol with Enhanced Threshold (DEECET) improves wireless sensor network energy efficiency. Simulations show DEECET offers more equitable energy dissipation than traditional protocols for various network types.

Keywords:
Cluster headClustering energyDEECDEECETEnergy efficient algorithmsWSN

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Wireless Sensor Networks (WSNs) are crucial for data collection but face energy constraints.
  • Existing clustering protocols often struggle with dynamic network conditions and energy dissipation.

Purpose of the Study:

  • To introduce a novel Distributed Energy Efficient Clustering Protocol with Enhanced Threshold (DEECET).
  • To evaluate DEECET's energy efficiency and performance in homogeneous and heterogeneous WSNs.

Main Methods:

  • Development of the DEECET protocol for dynamic and distributive clustering.
  • Simulation of WSNs using MATLAB to analyze energy dissipation.
  • Comparative analysis of DEECET against traditional clustering protocols.

Main Results:

  • DEECET demonstrates significant energy efficiency compared to existing protocols.
  • The protocol ensures more equitable energy dissipation across sensor nodes.
  • Effective performance is shown in both homogeneous and heterogeneous network environments.

Conclusions:

  • DEECET establishes a pure deterministic system for WSNs.
  • The protocol offers a dynamic, distributive, and highly energy-efficient solution.
  • DEECET enhances network lifespan through optimized energy management.