智能家居网络自适应跳频技术研究
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摘要
在智能家居网络环境下,为了提高无线通信过程中的抗干扰能力,将无线跳频技术中接收信号强度指示(received signal strength indication,RSSI)阈值判断跳频广播技术和丢包数粗同步跳频算法相结合,提出一种新型的无线跳频方案.主从节点在通信阶段计算连续丢包数,达到预设值时对信道RSSI采样取均值,超过阈值则进入频率切换阶段.结果表明,该方案可以准确及时监测到通信干扰,并且能够避免非频率干扰因素引起的跳频,比当前的跳频方案有效性更高、切换时延更短.
In the smart home network environment, in order to improve the radio interference immunity in the wireless communication process, this paper puts forward a new radio frequency-hopping scheme by combining the technology of received signal strength indication(RSSI) in threshold determining hopping broadcasting in the radio frequency-hopping techniques with the frequency-hopping algorithm for the number of coarse synchronization packet loss. The master node calculates the number of consecutive packet loss in the communication phase. When the preset value is reached, the channel RSSI samples are averaged and the threshold is exceeded. The master node calculates the continuous packet loss of the communication phase which will take the samples of the RSSI channel and average samples when reaching a present value and it will enter frequency switching stage if exceeding the threshold. The results show that the scheme can monitor the communication interference accurately and timely, and avoid frequency-hopping caused by non-frequency interference factors, which has shorter handoff delay and is more effective than the current frequency-hopping scheme.
In the smart home network environment, in order to improve the radio interference immunity in the wireless communication process, this paper puts forward a new radio frequency-hopping scheme by combining the technology of received signal strength indication(RSSI) in threshold determining hopping broadcasting in the radio frequency-hopping techniques with the frequency-hopping algorithm for the number of coarse synchronization packet loss. The master node calculates the number of consecutive packet loss in the communication phase. When the preset value is reached, the channel RSSI samples are averaged and the threshold is exceeded. The master node calculates the continuous packet loss of the communication phase which will take the samples of the RSSI channel and average samples when reaching a present value and it will enter frequency switching stage if exceeding the threshold. The results show that the scheme can monitor the communication interference accurately and timely, and avoid frequency-hopping caused by non-frequency interference factors, which has shorter handoff delay and is more effective than the current frequency-hopping scheme.
引文
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[11] 梁小虎.自适应跳频系统中频率自适应技术研究[J].通信技术,2013,(4):65-67.Liang Xiaohu.Study on frequency-adaptive technology in the adaptive frequency-hopping system[J].Communications Technology,2013,(4):65-67.
[12] 耿超.自适应跳频通信中信噪比估计算法研究[D].哈尔滨:哈尔滨理工大学,2015.Geng Chao.Research of SNR estimation algorithm in adaptive frequency hopping communication[D].Harbin:Harbin University of Science and Technology,2015.
[2] 李涛.基于ANT和ZigBee技术的智能家居系统的设计[D].武汉:武汉理工大学,2013.Li Tao.The design of smart home system based on ANT and ZigBee technology[D].Wuhan:Wuhan University of Technology,2013.
[3] 赵金东,王沁,万亚东.Mesh 结构无线传感器网络中的自适应跳频机制[J].北京邮电大学学报,2011,34(5):86-91.Zhao Jindong,Wang Qin,Wan Yadong.A new mechanism for adaptive channel hopping in wireless mesh sensor network[J].Journal of Beijing University of Posts and Telecommunications,2011,34(5):86-91.
[4] Texas Instruments,Inc.SimpliciTI Frequency Agility[EB/OL].2010.http://www.ti.com.cn/tool/cn/simpliciti.
[5] 杨宁,史仪凯,袁小庆,等.SimpliciTI 网络频率捷变机制的研究[J].传感技术学报,2011,24(12):1739-1743.Yang Ning,Shi Yikai,Yuan Xiaoqing,et al.Research on frequency agility mechanism in SimpliciTI network[J].Chinese Journal of Sensors and Actuators,2011,24(12):1739-1743.
[6] 张海.基于ANT技术的热网无线数据采集系统研究[D].包头:内蒙古科技大学,2013.Zhang Hai.The research of wireless data acquisition system for heating network based on ANT technology[D].Baotou:Inner Mongolia University of Science and Technology,2013.
[7] 刘石.基于ANT的无线传感器网络研究与应用[D].福州:福建师范大学,2013.Liu Shi.Research and application of wireless sensor network based on ANT[D].Fuzhou:Fujian Normal University,2013.
[8] Bereketli A,Akan O B.Event-to-sink directed clustering in wireless sensor networks[C]// Proceedings of the 2009 IEEE Conference on Wireless Communications & Networking Conference.IEEE Press,2009:1-6.
[9] Chung J H,Yang K.Optimal frequency-hopping sequences with new parameters[J].IEEE Transactions on Information Theory,2010,56(4):1685-1693.
[10] Liang X H,Cheng L.On the research of adaptive frequency hopping in the wireless communication[J].Applied Mechanics & Materials,2013,347-350:2033-2037.
[11] 梁小虎.自适应跳频系统中频率自适应技术研究[J].通信技术,2013,(4):65-67.Liang Xiaohu.Study on frequency-adaptive technology in the adaptive frequency-hopping system[J].Communications Technology,2013,(4):65-67.
[12] 耿超.自适应跳频通信中信噪比估计算法研究[D].哈尔滨:哈尔滨理工大学,2015.Geng Chao.Research of SNR estimation algorithm in adaptive frequency hopping communication[D].Harbin:Harbin University of Science and Technology,2015.
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