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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

AI-Driven Energy-Efficient Routing in IoT-Based Wireless Sensor Networks: A Comprehensive Review.

Sumendra Thakur¹, Nurul I Sarkar¹, Sira Yongchareon¹

¹Computer and Information Sciences, Auckland University of Technology, Auckland 1010, New Zealand.

Sensors (Basel, Switzerland)

|December 31, 2025

Summary

This summary is machine-generated.

This review explores AI-enhanced routing for Wireless Sensor Networks (WSNs) in the Internet of Things (IoT). It highlights AI

Keywords:

artificial intelligence (AI)energy efficiency internet of things machine learning (ML)routing optimization wireless sensor networks

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Area of Science:

Computer Science
Networking
Artificial Intelligence

Background:

Wireless Sensor Networks (WSNs) face challenges in the Internet of Things (IoT) due to network complexity and mobile nodes.
Traditional routing struggles with data congestion and uneven energy consumption in WSN-IoT systems.
Optimized routing strategies are crucial for sustainable WSN-IoT performance.

Purpose of the Study:

To comprehensively review conventional and AI-enhanced energy-efficient routing techniques for WSN-IoT.
To analyze the limitations and performance metrics of existing routing solutions.
To identify research challenges and future directions in intelligent WSN-IoT routing.

Main Methods:

Systematic literature review of over 100 studies on WSN-IoT routing.
Categorization of techniques including metaheuristics, machine learning, reinforcement learning, and AI-based cross-layer methods.
Analysis of performance metrics like scalability, energy efficiency, throughput, and packet delivery.

Main Results:

AI-enhanced methods show promise in overcoming limitations of traditional routing in WSN-IoT.
Diverse AI approaches offer potential for improved network performance and energy efficiency.
Key limitations identified include scalability issues and dynamic topology adaptation.

Conclusions:

A structured foundation is provided for advancing intelligent, energy-conscious routing in WSN-IoT.
Future research should focus on addressing identified challenges for next-generation IoT networks.
AI integration is pivotal for enhancing the efficiency and sustainability of WSN-IoT systems.