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image of 5G-Based Wireless Sensor Networks: Performance Insights and Application Optimization

Abstract

Introduction

The introduction of 5G technology has revolutionized Wireless Sensor Networks (WSNs) by significantly enhancing connectivity, reducing latency, and improving scalability.

Methods

This paper presents a performance analysis framework for 5G-based WSNs, focusing on key parameters such as numerology, deployment strategies (e.g., Multi-Access Edge Computing and centralized models), traffic loads, and link capacity allocations. The framework evaluates their impact on critical performance metrics, including latency, throughput, energy efficiency, and reliability.

Results

Simulation results reveal that deploying edge computing significantly reduces latency (e.g., 5.325 ms compared to 26.725 ms in centralized architectures), while optimized link capacity allocation and numerology configurations enhance overall network efficiency.

Conclusion

These findings demonstrate how 5G parameters can be fine-tuned to optimize WSN performance for diverse applications such as industrial automation, smart cities, and healthcare. The study provides practical insights into achieving real-time, scalable, and energy-efficient operations in 5G-enabled WSNs.

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2025-04-07
2025-09-13

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/content/journals/swcc/10.2174/0122103279368191250226074907
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5G-Based Wireless Sensor Networks: Performance Insights and Application Optimization
Bentham Science Publishers ; https://doi.org/10.2174/0122103279368191250226074907
/content/journals/swcc/10.2174/0122103279368191250226074907
/content/journals/swcc/10.2174/0122103279368191250226074907
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  • Article Type:     Research Article
Keywords: Traffic Load ; Wireless Sensor Networks (WSNs) ; Reliability ; Numerology ; Network Optimization ; Multi-access Edge Computing (MEC) ; Energy Efficiency ; 5G Networks ; Throughput ; Latency

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