一种数学编程方法,用于实现物联网,节能多元无线传感器网络设计和实施
Ertugrul Taparci1, Kardelen Olcay1, Melike Ozlem Akmandor1
1Faculty of Engineering and Natural Sciences, Istanbul Bilgi University, 34060 Istanbul, Türkiye.
Sensors (Basel, Switzerland)
|March 13, 2024
概括
本研究优化了使用异质网络模型在农业中部署无线传感器网络 (WSN). 这种两阶段的方法提高了能源效率,网络寿命,以及智能农业的可靠数据.
科学领域:
- 农业技术 农业技术
- 网络工程 网络工程
- 物联网 (IoT) 的物联网 (IoT) 的物联网.
背景情况:
- 无线传感器网络 (WSN) 对物联网 (IoT) 转型至关重要.
- 优化农业中的传感器部署对于效率和可持续性至关重要.
- 不同质的网络模型为增强WSN性能提供了潜力.
研究的目的:
- 使用异质网络模型优化农业环境中的传感器节点部署.
- 提高能源效率,网络寿命和数据传输可靠性.
- 解决WSN中的连接性,覆盖范围和实时适应性挑战.
主要方法:
- 一个两阶段的集中控制模型,包括线下和在线优化.
- 将传感器节点分组成"盒",以实现共享资源利用和成本效益.
- 农业农田的模拟和硬件测试用于验证.
主要成果:
- 拟议的模型有效地解决了连接和覆盖范围的问题.
- 通过传感器整合和减少数据跳跃,显著提高了能源效率.
- 经过验证的实用性用于现实世界的应用,如土壤温度和湿度监测.
结论:
- 异质网络模型为WSN在农业中的部署提供了一个实际的解决方案.
- 这项研究有助于推进智能农业和可持续农业实践.
- 农业监测网络有可能彻底改变农业的监测和管理.
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