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Related Experiment Video

Updated: Oct 25, 2025

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

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Published on: September 8, 2023

Lightweight and Efficient Dynamic Cluster Head Election Routing Protocol for Wireless Sensor Networks.

Mudathir F S Yagoub^1,2, Othman O Khalifa³, Abdelzahir Abdelmaboud⁴

¹Faculty of Computer Science & Information Technology, University of Omdurman Islamic, Khartoum 825109, Sudan.

Sensors (Basel, Switzerland)

|August 10, 2021

Summary

This summary is machine-generated.

A new routing protocol for Wireless Sensor Networks (WSNs) called LEDCHE-WSN enhances energy efficiency and network lifetime. It dynamically elects cluster heads and manages re-clustering, outperforming existing methods in power consumption and reducing packet delay.

Keywords:

cluster head election method dynamic self-organization method energy consumption service redundancy phenomenon wireless sensor network

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Area of Science:

Computer Science
Electrical Engineering
Network Engineering

Background:

Wireless Sensor Networks (WSNs) are crucial for various applications but face significant energy and resource constraints.
Existing clustering techniques in WSNs offer solutions for efficiency but WSNs remain immature with several limitations.
Current routing protocols struggle with energy conservation, scalability, and network longevity.

Purpose of the Study:

To propose a Lightweight and Efficient Dynamic Cluster Head Election routing protocol (LEDCHE-WSN) for WSNs.
To address limitations in existing WSN routing protocols, focusing on energy efficiency and network lifespan.
To improve upon current clustering and routing strategies by introducing dynamic re-clustering and optimized cluster head selection.

Main Methods:

Developed a novel routing algorithm, LEDCHE-WSN, integrating dynamic cluster head election and re-clustering.
Implemented a hybrid approach combining random and periodic cluster head selection, prioritizing nodes with higher residual energy.
Incorporated a mechanism to dynamically delete dead nodes from the network topology to mitigate black hole issues and routing delays.

Main Results:

LEDCHE-WSN demonstrated superior performance compared to LEACH and FBCFP protocols.
Achieved approximately 32% improvement in power consumption and network lifetime over LEACH.
Showcased significant reductions in Mean Packet Delay (42% over LEACH) and Loss Ratio (46% over LEACH).

Conclusions:

The proposed LEDCHE-WSN protocol effectively enhances energy efficiency and extends the network lifetime of Wireless Sensor Networks.
Dynamic cluster head election and re-clustering, coupled with dead node management, are key to LEDCHE-WSN's improved performance.
LEDCHE-WSN offers a promising solution for overcoming critical challenges in WSN routing, outperforming established protocols in key performance metrics.