在精准农业中部署的传感器通信的能源意识软件定义网络模型
1Department of Computer Science, College of Computer Sciences and Information Technology, King Faisal University, Al-Ahsa 31982, Saudi Arabia.
Sensors (Basel, Switzerland)
|June 10, 2023
概括
本研究介绍了精密农业传感器的能源意识网络模型. 它优化了集群头的选择,以提高传感器网络的寿命和数据处理效率,以实现可持续农业.
科学领域:
- 农业技术 农业技术
- 传感器网络 传感器网络
- 数据处理数据处理数据处理
背景情况:
- 精准农业依靠传感器数据来提高决策,资源效率和作物产量.
- 持续的作物监测需要强大的,节能的传感器数据采集和处理.
- 由于能源限制,传感器网络的寿命是一个关键的挑战.
研究的目的:
- 开发一个能源意识的软件定义网络,用于在农业传感器网络中高效的集群头选择.
- 提高用于精密农业的传感器的寿命和性能.
主要方法:
- 设计了一个能源意识的软件定义网络模型.
- 集群头是根据能源消耗,数据传输,近距离和延迟来选择的.
- 节点索引和集群适应性在后续轮评估和更新以进行最佳选择.
主要成果:
- 拟议的模型在网络寿命,吞吐量和处理延迟方面表现出卓越的性能.
- 实验结果表明,比其他方法有显著的改进.
结论:
- 能源意识的网络模型有效地解决了在精密农业中传感器网络寿命的挑战.
- 优化集群头部选择可以提高农业运营的效率和可持续性.
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