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

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Published on: September 8, 2023

Enhancing energy balance in wireless sensor networks through optimized minimum spanning tree.

Hafiz Muhammad Saad¹, Ahmed Shdefat², Asif Nawaz¹

¹University Institute of Information Technology, University of Arid Agriculture Rawalpindi, Rawalpindi, Punjab, Pakistan.

Peerj. Computer Science

|December 9, 2024

Summary

This summary is machine-generated.

This study introduces Prim's algorithm to create minimum spanning trees (MSTs) for balancing energy in wireless sensor networks (WSNs). The method enhances network lifespan and energy efficiency by optimizing node connections and sink movement.

Keywords:

Energy balance Energy consumption MST Network lifetime Prim’s algorithm WSN

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Area of Science:

Computer Science
Network Engineering
Algorithm Design

Background:

Wireless sensor networks (WSNs) face significant challenges due to limited energy resources in sensor nodes.
Energy imbalances lead to premature node failures and reduced overall network lifespan, hindering applications like environmental monitoring and industrial automation.
Existing solutions struggle to address WSN energy imbalances effectively due to network dynamics and uneven node distribution.

Purpose of the Study:

To propose a novel method for enhancing energy balance in WSNs using Prim's algorithm.
To improve the longevity and energy efficiency of wireless sensor networks.
To optimize the deployment and operation of WSNs for sustainable applications.

Main Methods:

Utilizing Prim's algorithm to construct Minimum Spanning Trees (MSTs) for optimal node connectivity.
Implementing network initialization and energy consumption modeling.
Optimizing the movement of mobile sink nodes within the WSN.

Main Results:

Demonstrated significant improvement in energy equilibrium across WSN nodes.
Showcased the effectiveness of Prim's algorithm in minimizing energy consumption.
Experimental results indicate high sensitivity and moderate complexity of the proposed approach.

Conclusions:

Prim's algorithm offers a viable solution for enhancing energy balance in WSNs.
The proposed method effectively extends the operational lifespan of wireless sensor networks.
This research contributes to more sustainable and efficient WSN deployments through improved energy management.