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Related Experiment Video

Updated: Apr 23, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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EDCC-RPL: A novel energy-efficient and load-balanced objective function for RPL Routing in IoT networks enhancing

Muhammad Asif Habib1, Abdullah M Albarrak1, Mudassar Ahmad2

  • 1College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia.

Plos One
|April 21, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces EDCC-RPL, a novel routing protocol for low-power and lossy networks. It enhances energy efficiency and network stability in Internet of Things (IoT) deployments.

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Area of Science:

  • Computer Science
  • Network Engineering
  • Internet of Things

Background:

  • Routing Protocol for Low-Power and Lossy Networks (RPL) faces challenges in energy efficiency and load balancing.
  • These challenges limit the lifetime and reliability of Internet of Things (IoT) deployments.
  • Existing single or dual metric schemes (OF0, MRHOF, EA-EPL) do not sufficiently address these issues.

Purpose of the Study:

  • Introduce EDCC-RPL, a novel multi-metric objective function for RPL.
  • Improve energy efficiency, network stability, and scalability in IoT networks.
  • Achieve joint optimization of reliability, delay, and load balancing.

Main Methods:

  • Developed EDCC-RPL, an adaptive additive model integrating Expected Transmission Count (ETX), end-to-end delay, and child count.
  • Conducted extensive simulations using Contiki Cooja with 20-50 nodes.
  • Compared EDCC-RPL against conventional RPL objective functions.

Main Results:

  • Achieved up to 32% lower energy consumption.
  • Improved Packet Delivery Ratio (PDR) by 18%.
  • Reduced parent switching (churn) by 50-60% in dense topologies.

Conclusions:

  • EDCC-RPL demonstrates significant improvements in energy efficiency, reliability, and stability.
  • The proposed EDCC-RPL offers a practical and scalable solution for sustainable IoT networks.
  • The algorithm's open-source implementation promotes reproducibility and reuse in smart city and industrial applications.