物联网中基于iBeacon的防碰撞广播方案

doi:10.13190/j.jbupt.2019-096

北京邮电大学学报 ›› 2020, Vol. 43 ›› Issue (2): 66-73.doi: 10.13190/j.jbupt.2019-096

物联网中基于iBeacon的防碰撞广播方案

许凌毅¹, 韩道岐², 刘雯¹

1. 北京邮电大学电子工程学院, 北京 100876;
2. 北京邮电大学信息与通信工程学院, 北京 100876

收稿日期:2019-05-28 发布日期:2020-04-28
通讯作者: 刘雯(1967-),女,高级工程师,博士生导师,E-mail:liuwen@bupt.edu.cn. E-mail:liuwen@bupt.edu.cn
作者简介:许凌毅(1996-),男,博士生.
基金资助:
北邮-Arm互联网+实验室、北京邮电大学校2019级教改项目、北京邮电大学研究生产教融合创新实践课建设项目（2020C005）

Anti-Collision Broadcasting Scheme Based on iBeacon in Internet of Things

XV Ling-yi¹, HAN Dao-qi², LIU Wen¹

1. School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China;
2. School of Information and Communications Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2019-05-28 Published:2020-04-28

摘要/Abstract

摘要： 针对密集物联网环境下的信号碰撞问题，提出了一种分组及时应答多个节点、降低碰撞率的广播协议.通过多周期迭代分析碰撞概率，建立了理论模型，有效地解决了大规模传感器节点并发广播信道碰撞严重的问题.使用蒙特卡洛法仿真评估延迟、容量指标，分析了影响性能的关键参数，模型计算结果与仿真结果一致.与无应答式的广播协议相比，所采用的广播应答机制可以高效确认，降低了23%的网络延迟和90%的广播碰撞，并使系统容量提升1倍.

关键词: 物联网, 低功耗蓝牙, 广播碰撞, 延迟分析

Abstract: Aiming at the problem of signal collision in the dense Internet of Things environment, an anti-collision broadcasting scheme was proposed which can group respond to multiple nodes in time and reduce the collision rate. The collision probability was analyzed by multi-period iteration, and a theoretical model was established which effectively solves the serious channel collision in concurrent broadcasting of large-scale sensor nodes. Monte Carlo simulation was created to evaluate indicators such as latency, capacity, and power consumption. The key parameters affecting the performance were analyzed. The model calculation results are consistent with the simulation results. Compared with the unresponsive broadcasting protocol, the broadcast response mechanism can effectively confirm, reduce 23% network delay and 90% broadcast collision, and increase the system capacity by 100%.

Key words: internet of things, bluetooth low energy, broadcast collision, latency analysis

中图分类号:

TN911.22

许凌毅, 韩道岐, 刘雯. 物联网中基于iBeacon的防碰撞广播方案[J]. 北京邮电大学学报, 2020, 43(2): 66-73.

XV Ling-yi, HAN Dao-qi, LIU Wen. Anti-Collision Broadcasting Scheme Based on iBeacon in Internet of Things[J]. Journal of Beijing University of Posts and Telecommunications, 2020, 43(2): 66-73.

参考文献

[1] He Zhiqiang, Cui Binyue, Zhou Wei, et al. A proposal of interaction system between visitor and collection in museum hall by iBeacon[C]//2015 10th International Conference on Computer Science & Education (ICCSE). New York:IEEE Press, 2015:427-430.
[2] Vochin M, Vulpe A, Boicescu L, et al. An intelligent low-power displaying system withr integrated emergency alerting capability[J]. Sensors, 2019, 19(3):666.
[3] Chen Zhenghua, Zhu Qingchang, Soh Y C. Smartphone inertial sensor-based indoor localization and tracking with iBeacon corrections[J]. IEEE Transactions on Industrial Informatics, 2016, 12(4):1540-1549.
[4] Wu Xudong, Shen Ruofei, Fu Luoyi, et al. iBILL:using iBeacon and inertial sensors for accurate indoor localization in large open areas[J]. IEEE Access, 2017, 5:14589-14599.
[5] Vy T D, Shin Y. iBeacon indoor localization using trusted-Ranges model[J]. International Journal of Distributed Sensor Networks, 2019, 15(1):155014771882430.
[6] Varela P M, Otsuki Ohtsuki T. Discovering Co-located walking groups of people using iBeacon technology[J]. IEEE Access, 2016, 4:6591-6601.
[7] Bak S, Suh Y J. Designing and implementing an enhanced bluetooth low energy scanner with user-level channel awareness and simultaneous channel scanning[J]. IEICE Transactions on Information and Systems, 2019, E102. D(3):640-644.
[8] Shan Gaoyang, Im S Y, Roh B H. Optimal AdvInterval for BLE scanning in different number of BLE devices environment[C]//2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). New York:IEEE Press, 2016:1031-1032.
[9] Shan Gaoyang, Lee B U, Shin S H, et al. Design and implementation of simulator for analysis of BLE broadcast signal collision[C]//2017 International Conference on Information Networking (ICOIN). New York:IEEE Press, 2017:448-452.
[10] Cho K, Park W, Hong M, et al. Analysis of latency performance of bluetooth low energy (BLE) networks[J]. Sensors, 2014, 15(1):59-78.
[11] Jeon W S, Dwijaksara M H, Jeong D G. Performance analysis of neighbor discovery process in bluetooth low-energy networks[J]. IEEE Transactions on Vehicular Technology, 2017, 66(2):1865-1871.
[12] Seo J, Cho K, Cho W, et al. A discovery scheme based on carrier sensing in self-organizing Bluetooth Low Energy networks[J]. Journal of Network and Computer Applications, 2016, 65:72-83.
[13] Silva B N, Han K, Seo J, et al. A dynamic advertisement interval strategy in Bluetooth low energy networks[J]. International Journal of Sensor Networks, 2018, 27(1):52.
[14] Zhang Yan, Song Zheng, Wang Wendong, et al. An optimized algorithm for device discovery using BLE[C]//Proceedings of the 20164th International Conference on Machinery, Materials and Information Technology Applications. Paris, France:Atlantis Press, 2016:115-120.
[15] Bluetooth Special Interest Group (SIG). Bluetooth core specification v4.2[S/OL]. 2014. http://www.bluetooth.com/specifications/bluetooth-core-specification.
[16] Kim J, Han K. Backoff scheme for crowded Bluetooth low energy networks[J]. IET Communications, 2017, 11(4):548-557.
[17] Hernandez-Solana A, Perez-Diaz-de-cerio D, Valdovinos A, et al. Anti-collision adaptations of BLE active scanning for dense IoT tracking applications[J]. IEEE Access, 2018, 6:53620-53637.

物联网中基于iBeacon的防碰撞广播方案

Anti-Collision Broadcasting Scheme Based on iBeacon in Internet of Things

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