在支持物联网的水质监测系统中优化资源配置
Segun O Olatinwo1, Trudi H Joubert1
1Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0002, South Africa.
Sensors (Basel, Switzerland)
|November 14, 2023
概括
本研究介绍了物联网 (IoT) 水质监测系统的优化资源分配方法. 新方法提高了能源效率和数据吞吐量,用于实时跟踪水的状态.
科学领域:
- 环境科学 环境科学
- 计算机工程 计算机工程
- 水资源管理 水资源管理
背景情况:
- 物联网 (IoT) 水质监测系统在功率,带宽和计算方面面临限制.
- 资源限制阻碍了实时数据处理,影响了有效的水质变化监测.
- 目前的系统通常依赖于远程数据处理,延迟实时洞察力.
研究的目的:
- 提出一种新的资源分配方法,以优化物联网水质监测中的功率和时间.
- 动态分配混合接入点 (HAP),以提高系统的能源效率和数据吞吐量.
- 整合边缘计算用于现场数据处理,以确保实时监控和及时获得清洁水.
主要方法:
- 开发了一种新的资源分配策略,重点关注电力和时间优化.
- 为水质传感器实施混合接入点 (HAP) 的动态分配.
- 集成边缘计算功能,用于监控站点的本地化数据处理.
主要成果:
- 与模拟实验中的现有方法相比,拟议的系统表现出优越的性能.
- 在两个配置中,在能源效率方面实现了约12.65%和16.49%的改进.
- 验证了资源分配方法在提高系统性能方面的有效性.
结论:
- 拟议的资源分配方法显著提高了物联网水质监测系统的能源效率.
- 边缘计算集成使实时水质监测成为可能,这对公共卫生和资源管理至关重要.
- 该系统有效地解决了资源限制,为更可靠的水源监测解决方案铺平了道路.
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