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基于时间序列预测和BLE网格中的轻量级GBN的受限制洪水
Junxiang Li1, Mingxia Li1, Li Wang1
1School of Software, Northwestern Polytechnical University, Xi'an 710072, China.
Sensors (Basel, Switzerland)
|July 27, 2024
概括
本研究介绍了蓝牙低能网 (BLE Mesh) 网络的新算法,以提高低功耗节点 (LPN) 的能源效率. 时间序列预测和轻量级GBN (TP-LW) 算法显著提高了传感器网络的吞吐量,并降低了传感器网络的能耗.
科学领域:
- 无线通信无线通信
- 物联网 (IoT) 的物联网 (IoT) 的物联网.
- 传感器网络 传感器网络
背景情况:
- 蓝牙低能网 (BLE Mesh) 网络使用低功耗节点 (LPN) 来扩展覆盖范围和灵活性.
- 优化能源效率与通信吞吐量对BLE Mesh中LPN的权衡是一个重大挑战.
- 现有的减少LPN能源消耗的方法往往会带来额外的能源损失.
研究的目的:
- 提出一种新的算法,时间序列预测和轻量级GBN (TP-LW),以提高BLE网格网络中LPN的能源效率和吞吐量.
- 解决LPN在停止等待通信协议中面临的能源消耗和效率挑战.
- 通过优化LPN消息交换,提高BLE Mesh传感器网络的性能.
主要方法:
- 开发了一个受约束的洪水算法,集成基于周围网络负载的LPN唤醒周期的时间序列预测.
- 实施了一种轻量级的Go-Back-N (GBN) 协议,以优化消息交换,包括LPN的窗口和确认机制.
- 进行模拟以评估拟议TP-LW算法的有效性与原始BLE Mesh协议相比.
主要成果:
- TP-LW算法在能源消耗和吞吐量方面都取得了显著的改进.
- 模拟显示,与原来的BLE Mesh算法相比,LPN的吞吐量增加了214.71%,能源消耗减少了65.14%,特别是当传输的数据包较少时.
- 通过时间序列预测和增强的GBN消息传递来优化唤醒周期,有效地平衡了能源和效率.
结论:
- 拟议的TP-LW算法为优化BLE Mesh网络中的LPN性能提供了卓越的解决方案.
- 这种方法有效地解决了BLE Mesh传感器网络中的能源消耗挑战,为更高效的物联网设备铺平了道路.
- 这些发现验证了TP-LW算法的提高吞吐量和节约能源的能力,这对于电池驱动的传感器节点至关重要.
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