WHOOPH:以鱼优化为基础的,在WBAN中对枢纽节点的最佳放置
Shubham Shukla1, Vibhav Kumar Sachan1, Anurag Sinha2
1Department of Electronics and Communication Engineering, KIET Group of Institutions, Ghaziabad, India.
Scientific reports
|February 10, 2024
概括
一个新的鱼优化算法 (WOA) 方案有效地为无线人体区域网络 (WBAN) 找到最佳枢纽位置. 这种方法节约了节点能量,延长了WBAN的运行寿命并提高了性能.
科学领域:
- 生物医学工程 生物医学工程
- 计算机科学 计算机科学
- 网络优化 网络优化
背景情况:
- 无线人体区域网络 (WBAN) 依赖生物传感器节点来传输生理数据.
- 通过WBAN节点传输数据时的能源消耗是一个重大挑战.
- 优化中央枢纽的位置对于最大限度地减少节点能量消耗至关重要.
研究的目的:
- 为WBANs开发一个高效的枢纽配置方案.
- 为了尽量减少WBAN数据传输中的能源消耗.
- 提高WBANs的运营寿命.
主要方法:
- 实施鱼优化算法 (WOA) 用于枢纽位置.
- 使用"鱼搜索代理"进行代优化 (围绕猎物,泡泡网养,随机搜索).
- 直接确定最佳的枢纽位置,以减少时间和网络资源使用.
主要成果:
- 基于WOA的方案大大降低了数据传输节点的能源消耗.
- 实现了8937个数据传输轮的网络寿命.
- 证明了高网络吞吐量 (93.8%) 和低延迟 (9.74 ms).
结论:
- 基于WOA的枢纽位置是WBAN的时间效率和节能解决方案.
- 这种方法在网络寿命和性能方面优于现有的WBAN协议.
- 使用WOA优化集线器位置,使WBAN运行更加稳健和可持续.
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