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作 者:徐晓冰[1] 夏吉 李奇越[1] 孙伟[1] 罗国军[1] XU Xiao-bing;XIA Ji;LI Qi-yue;SUN Wei;LUO Guo-jun(School of Electrical Engineering and Automation,Hefei University of Technology,Hefei 230009,China)
机构地区:[1]合肥工业大学电气与自动化工程学院,安徽合肥230009
出 处:《仪表技术与传感器》2020年第2期82-86,共5页Instrument Technique and Sensor
基 金:国家自然科学基金资助项目(51877060)。
摘 要:为了降低2.4 GHz频段上WiFi信号对ZigBee的干扰,提出了一种基于信道空闲时间预测的信道选择算法。首先,建立已知信道状态序列的隐马尔可夫模型;其次,利用信道状态的历史信息预测信道未来的空闲时间期望,更新ZigBee的备选信道序列;最后,当预测的信道空闲概率小于阈值时,将ZigBee无线传感网络设备切换至备选信道。仿真结果表明,在强WiFi信号干扰的情况下,与常见的信道选择方法比较,该方法能减少信道切换的次数,提高包接收率,增强无线传感网络的抗干扰性能。In order to reduce the interference of WiFi signals to ZigBee in the 2.4 GHz band,this paper proposed a channel selection algorithm based on prediction of the channel idle time(PCIT).Firstly,this paper established a known-state sequence hidden Markov model(KSS-HMM).Secondly,the historical information of the channel state was used to predict the future idle time expectation of the channel to update the candidate channel sequence of the ZigBee.Finally,when the predicted channel idle probability is less than the threshold,the ZigBee wireless sensor network device was switched to the alternate channel.The simulation results show that in the case of strong WiFi signal interference,compared with common channel selection methods,this method can reduce the number of channel switching,improve the packet receiving rate and enhance the anti-interference performance of wireless sensor networks.
关 键 词:ZIGBEE WiFi干扰 隐马尔可夫模型 信道空闲时间预测 信道切换
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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