COMPARE PERFORMANCE METRICS OF DIFFERENT EMBEDDED SYSTEM ARCHITECTURES FOR SPECIFIC IOT USE CASES
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Embedded Systems, Internet of Things (IoT), Performance Metrics, System Benchmarking, IoT Architectures, Power Consumption, Real-time Systems.Abstrak
The growing IoT landscape demands embedded system architectures that balance performance and resource constraints. This study compares ARM Cortex-M, RISC-V, and ESP32 architectures in industrial automation and healthcare applications. Key metrics, including latency, power consumption, and throughput, were evaluated using benchmarks and real-world workloads. Results show ESP32 achieving TCP throughput of 12–15 Mbps and UDP throughput of 35–40 Mbps, ideal for wireless communication. ARM Cortex-M offers versatility, RISC-V excels in energy efficiency, and ESP32 leads in connectivity. These findings guide IoT system architects in selecting hardware tailored to specific requirements, advancing embedded IoT system design.
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