Analysis of the computational costs of an evolutionary fuzzy rule-based internet-of-things energy management approach

IF 4.4 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Ad Hoc Networks Pub Date : 2024-11-22 DOI:10.1016/j.adhoc.2024.103715

M. Mikus , Ja. Konecny , P. Krömer , K. Bancik , Ji. Konecny , J. Choutka , M. Prauzek

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Abstract

This study presents an in-depth analysis of the computational costs associated with the application of an Evolutionary Fuzzy Rule-based (EFR) energy management system for Internet of Things (IoT) devices. In energy-harvesting IoT nodes, energy management is critical for sustaining long-term operation. The proposed EFR approach integrates fuzzy logic and genetic programming to autonomously control energy consumption based on available resources. The study evaluates the system’s computational performance, particularly focusing on processing time, RAM and flash memory usage across various hardware configurations. Different compiler optimization levels and floating-point unit (FPU) settings were also explored, comparing standard and pre-compiled algorithms. The results reveal computational times ranging from 2.43 to 5.23 ms, RAM usage peaking at 6.23 kB, and flash memory consumption between 19 kB and 32 kB. A significant reduction in computational overhead is achieved with optimized compiler settings and hardware FPU, highlighting the feasibility of deploying EFR-based energy management systems in low-power, resource-constrained IoT environments. The findings demonstrate the trade-offs between computational efficiency and energy management, with particular benefits observed in scenarios requiring real-time control in remote and energy-limited environments.

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基于进化模糊规则的物联网能源管理方法的计算成本分析

本研究深入分析了与物联网（IoT）设备应用基于进化模糊规则（EFR）的能源管理系统相关的计算成本。在能量收集型物联网节点中，能量管理对于维持长期运行至关重要。所提出的 EFR 方法集成了模糊逻辑和遗传编程，可根据可用资源自主控制能源消耗。本研究评估了系统的计算性能，尤其关注不同硬件配置下的处理时间、RAM 和闪存使用情况。研究还探讨了不同的编译器优化级别和浮点运算单元（FPU）设置，并对标准算法和预编译算法进行了比较。结果显示，计算时间在 2.43 至 5.23 ms 之间，RAM 使用量峰值为 6.23 kB，闪存消耗量在 19 kB 至 32 kB 之间。通过优化编译器设置和硬件 FPU，计算开销大幅减少，这凸显了在低功耗、资源受限的物联网环境中部署基于 EFR 的能源管理系统的可行性。研究结果表明了计算效率和能源管理之间的权衡，在需要在远程和能源受限环境中进行实时控制的场景中尤其明显。

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来源期刊

Ad Hoc Networks 工程技术-电信学

CiteScore

10.20

自引率

4.20%

发文量

131

审稿时长

4.8 months

期刊介绍： The Ad Hoc Networks is an international and archival journal providing a publication vehicle for complete coverage of all topics of interest to those involved in ad hoc and sensor networking areas. The Ad Hoc Networks considers original, high quality and unpublished contributions addressing all aspects of ad hoc and sensor networks. Specific areas of interest include, but are not limited to: Mobile and Wireless Ad Hoc Networks Sensor Networks Wireless Local and Personal Area Networks Home Networks Ad Hoc Networks of Autonomous Intelligent Systems Novel Architectures for Ad Hoc and Sensor Networks Self-organizing Network Architectures and Protocols Transport Layer Protocols Routing protocols (unicast, multicast, geocast, etc.) Media Access Control Techniques Error Control Schemes Power-Aware, Low-Power and Energy-Efficient Designs Synchronization and Scheduling Issues Mobility Management Mobility-Tolerant Communication Protocols Location Tracking and Location-based Services Resource and Information Management Security and Fault-Tolerance Issues Hardware and Software Platforms, Systems, and Testbeds Experimental and Prototype Results Quality-of-Service Issues Cross-Layer Interactions Scalability Issues Performance Analysis and Simulation of Protocols.