基于Zigbee的无线传感器网络 (WSN) 中以内容为中心的路由的一个模糊模型
Zhou He1,2, Lian Chen1,2, Feng Li1,2
1State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei, China.
PloS one
|June 15, 2023
概括
一个新的内容中心路由 (FMCCR) 模糊模型增强了无线传感器网络 (WSN). 该模型提高了能源效率和数据包传输,大大延长了现实应用的网络寿命.
科学领域:
- 智能通信系统 智能通信系统
- 无线传感器网络 (WSN) 是一种无线传感器网络.
- 网络路由算法 网络路由算法
背景情况:
- 无线传感器网络 (WSN) 在各种环境中提供高效的数据收集和分析.
- 异质数据路由由于WSN中的各种应用和数据类型存在重大挑战.
研究的目的:
- 引入内容中心路由 (FMCCR) 的模糊模型,以应对WSN中异质数据路由的挑战.
- 通过优化拓控制和基于内容的数据传输来提高网络性能.
主要方法:
- FMCCR采用两步方法:网络拓构建和以内容为中心,基于模糊逻辑的数据传输.
- 数据传输路径是动态确定基于网络拓和内容类型.
主要成果:
- FMCCR显示能耗降低,交通负载分布改善.
- 与以前的方法相比,拟议的模型至少增加了10.74%的网络寿命和88.1%的数据包交付时间.
结论:
- 在提高WSN性能方面,FMCCR被证明是有效的,特别是在能源效率和网络寿命方面.
- 该模型的效率表明它适合于现实世界WSN部署.
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