在基于物联网的多层异质无线传感器网络 (HWSNs) 中,节点角色选择和旋转方案以提高能源效率.
Tamoor Shafique1, Abdel-Hamid Soliman1, Anas Amjad1
1School of Digital, Technology, Innovation and Business, Staffordshire University, Stoke-on-Trent ST4 2DE, UK.
Sensors (Basel, Switzerland)
|September 14, 2024
概括
本研究介绍了一种基于物联网 (IoT) 的异质无线传感器网络 (HWSNs) 的新型模型,可以提高能源效率和网络寿命. 提出的方法大大提高了数据传输到基站的吞吐量,提高了整体网络性能.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
- 网络工程 网络工程
背景情况:
- 基于物联网 (IoT) 的异质无线传感器网络 (HWSNs) 对以人为中心的应用至关重要.
- 在HWSNs中,高效的资源利用,特别是能源,至关重要.
- 现有的方法往往缺乏多参数和多层次异质性支持.
研究的目的:
- 为基于物联网的HWSNs提出一个多参数和多层次异质性模型.
- 为了提高能源效率并最大限度地提高网络寿命.
- 为了提高数据传输到基站的吞吐量.
主要方法:
- 一种集群头旋转方法,用于能量平衡和寿命最大化.
- 一个用于节能集群间通信的数学框架 (单跳与多跳).
- 在潜在的下一跳节点之间进行中继角色旋转的方法.
主要成果:
- 集群内部通信吞吐量增加了多达57%.
- 在集群间通信中提高能源效率.
- 与现有方法 (RLEACH,CRPFCM,EERPMS) 相比,整体吞吐量显著增加.
结论:
- 拟议的多参数和多级异质模型有效平衡能源,并最大限度地提高基于物联网的HWSN的寿命.
- 开发的通信策略提高了集群内部和集群间数据传输的效率.
- 这些方法在现有方法中表现出优越的性能,提供了实质性的吞吐量增长.
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