低功耗蓝牙5.0邻居发现协议时延模型研究

骆冰清; 王佩佩; 王正康; 孙知信

doi:10.11959/j.issn.1000-436x.2021105

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低功耗蓝牙5.0邻居发现协议时延模型研究

学术通信 | 更新时间：2024-06-05

- 低功耗蓝牙5.0邻居发现协议时延模型研究
- Latency model of neighbor discovery based on Bluetooth low energy 5.0
- 通信学报 2021年42卷第6期页码：226-237
- 作者机构：
  
  1. 江苏省大数据安全与智能处理重点实验室（南京邮电大学），江苏南京 210023
  2. 南京邮电大学计算机学院、软件学院、网络与空间安全学院，江苏南京 210023
  3. 南京邮电大学国家邮政局邮政行业技术研发中心（物联网技术），江苏南京 210003
  4. 宽带无线通信与传感网技术教育部重点实验室（南京邮电大学），江苏南京 210003
- 作者简介：
  
  [ "骆冰清（1987− ），女，江苏镇江人，博士，南京邮电大学讲师、硕士生导师，主要研究方向为网络通信理论与技术、无线传感器网络、物联网应用等" ]
  [ "王佩佩（1998− ），女，江苏扬州人，南京邮电大学硕士生，主要研究方向为室内定位技术、计算机应用技术等" ]
  [ "王正康（1997− ），男，山东滕州人，南京邮电大学硕士生，主要研究方向为室内定位技术、计算机应用技术等" ]
  [ "孙知信（1964− ），男，安徽宣城人，博士，南京邮电大学教授、博士生导师，主要研究方向为网络通信的理论与技术、计算机网络及安全、区块链技术" ]
- 基金信息：
  
  国家自然科学基金资助项目(61702281);国家自然科学基金资助项目(61672299)
- DOI：10.11959/j.issn.1000-436x.2021105
  中图分类号： TN92
- 网络出版日期：2021-06，
  
  纸质出版日期：2021-06-25
- 稿件说明：
移动端阅览
骆冰清, 王佩佩, 王正康, 等. 低功耗蓝牙5.0邻居发现协议时延模型研究[J]. 通信学报, 2021,42(6):226-237.

Bingqing LUO, Peipei WANG, Zhengkang WANG, et al. Latency model of neighbor discovery based on Bluetooth low energy 5.0[J]. Journal on communications, 2021, 42(6): 226-237.
骆冰清, 王佩佩, 王正康, 等. 低功耗蓝牙5.0邻居发现协议时延模型研究[J]. 通信学报, 2021,42(6):226-237. DOI： 10.11959/j.issn.1000-436x.2021105.

Bingqing LUO, Peipei WANG, Zhengkang WANG, et al. Latency model of neighbor discovery based on Bluetooth low energy 5.0[J]. Journal on communications, 2021, 42(6): 226-237. DOI： 10.11959/j.issn.1000-436x.2021105.

摘要

针对低功耗蓝牙网络邻居发现时延难以评估的问题，面向蓝牙5.0标准提出一种基于中国剩余定理的低功耗蓝牙邻居发现时延分析模型，建立邻居发现过程中广播间隔、扫描间隔以及扫描窗口参数配置与发现时延大小的理论关系，验证了不同参数配置条件对邻居发现时延大小的影响。实验结果表明，所提出的模型能够有效预测参数配置影响下的时延峰值，为不同的应用场景提供参数配置验证与指导。

Abstract

For Bluetooth low energy neighbor discovery protocol

it was usually difficult to assess the discovery latency performance.A latency performance model of neighbor discovery based on Chinese remainder theorem for Bluetooth 5.0 standard was proposed.A mathematical relationship between the discovery latency and key parameters was put forward

including advertising interval

scan interval and scan window.The effect of different parameter configurations on the neighbor discovery latency was verified.Experimental results show that the model can effectively predict the delay peak under the influence of parameter configuration

and provide parameter configuration verification and guidance for different application scenarios.

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references

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