首页|WiFi与ZigBee双向移动跨网通信方法研究

WiFi与ZigBee双向移动跨网通信方法研究

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物联网设备的爆发式增长推进了异构无线设备互联互通的进程,跨网通信技术(Cross-Technology Com-munication,CTC)允许同一频段下遵循不同底层协议的无线设备在无需网关的前提下实现直联,但移动状态下的双向跨网通信方法仍缺乏系统的研究.本文提出了一种基于能量感知的跨网通信方案——MobiCTC,它支持WiFi与Zig-Bee设备移动状态下的双向跨网通信.WiFi到ZigBee方向,该方案利用RSSI(Received Signal Strength Indicator)作为解码信息,基于能级映射实现信息解码;ZigBee到WiFi方向,该方案采用CSI(Channel State Information)作为解码信息,充分挖掘CSI的幅度与相位信息,利用机器学习方法实现分类解码.最后,本文使用TelosB节点和USRP X310平台对MobiCTC方案进行了实验验证.实验结果表明,移动状态下WiFi到ZigBee方向的系统吞吐量为139.535 bps,较WiZig提高了1.82倍,符号错误率为0.016,与WiZig基本持平;ZigBee到WiFi方向的系统吞吐量为250 bps,较FreeBee提高了15.7%,符号错误率为0.0516,较ZigFi下降了23.21%.
Research on Bidirectional Mobile Cross-Technology Communication Method Between WiFi and ZigBee
The exponential increase of IoT devices has accelerated the process of interconnecting heterogeneous wire-less devices,and the cross-technology communication(CTC)technique enables wireless devices to operate in the same band and use different underlying protocols to connect directly without gateways.Nevertheless,systematic research on the two-way CTC of heterogeneous mobile devices is still lacking.This paper proposes MobiCTC,a CTC scheme based on en-ergy sensing that supports bidirectional CTC between mobile WiFi and ZigBee devices.In the WiFi-to-ZigBee direction,the scheme uses RSSI as the decoding information and an energy-level mapping scheme to achieve information decoding.In the ZigBee to WiFi direction,the scheme adopts CSI as the decoding information,fully exploits CSI's amplitude and phase information and uses a machine learning method for decoding.Finally,this paper designs and implements MobiCTC using the TelosB node and USRP X310 platform,as well as experimental verification.The experimental results show that in the mobile state,the WiFi to ZigBee communication throughput is 139.535 bps,which is 1.82 times higher than WiZig,and the symbol error rate is 0.016,which is basically the same as WiZig;the ZigBee to WiFi communication throughput is 250 bps,which is 15.7%higher than FreeBee,and the symbol error rate is 0.0516,which is a decrease of 23.21%compared to ZigFi.

heterogeneous devicescross-technology communicationwireless communicationreceived signal strength indicatorchannel state information

李鸣、许善智、尹雨晴、杨旭、牛强、李子龙

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中国矿业大学计算机科学与技术学院,江苏 徐州 221116

青岛城市学院计算机工程学院,山东 青岛 266106

异构设备 跨网通信 无线通信 接收信号强度 信道状态信息

2024

电子学报
中国电子学会

电子学报

CSTPCD北大核心
影响因子:1.237
ISSN:0372-2112
年,卷(期):2024.52(11)