针对突发和周期信号并存的应用场景,提出了一种基于分簇结构的无线传感器网络混合调度MAC协议——CBPMAC/TFC(A Cluster-based Wireless Sensor Network MAC Protocol for the System with Burst and Peri-odic Signals/Based on TDMA,F...针对突发和周期信号并存的应用场景,提出了一种基于分簇结构的无线传感器网络混合调度MAC协议——CBPMAC/TFC(A Cluster-based Wireless Sensor Network MAC Protocol for the System with Burst and Peri-odic Signals/Based on TDMA,FDMA,CSMA)。簇间采用基于FDMA的调度机制,簇内采用基于TDMA和CSMA的联合调度机制。提出了以簇头为基准的相对时间同步机制,同步精度为一个帧周期的时钟漂移。给出了基于能量阈值的簇头轮换策略和基于侦听的故障处理策略。理论分析和实验结果表明:CBPMAC/TFC协议在响应实时性和能量有效性方面介于CSMA和TDMA之间,与CSMA相比,在损失一定突发信号响应实时性的情况下,节省能耗18.7%;与TDMA相比,在改善突发信号响应实时性的情况下,损失能耗23.6%。展开更多
Brain computer interface(BCI)systems permit individuals with motor disorders to utilize their thoughts as a mean to control external devices.BCI is a promising interdisciplinary field that gained the attention of many...Brain computer interface(BCI)systems permit individuals with motor disorders to utilize their thoughts as a mean to control external devices.BCI is a promising interdisciplinary field that gained the attention of many researchers.Yet,the development of BCI systems is facing several challenges,such as network lifetime.The Medium Access Control(MAC)Protocol is the bottle-neck of network reliability.There are many MAC protocols that can be utilized for dependable transmission in BCI applications by altering their control parameters.However,modifying these parameters is another source of concern due to the scarcity in knowledge about the effect of modification.Also,there is still no instrument that can receive and actualize these parameters on transmitters embedded inside the cerebrum.In this paper,we propose two novel MAC protocols using passive UHF-RFID,the proposed protocols provide efficient and reliable communication between the transmitters and the receiver.The UHF-RFID transmitters were used because they are energy efficient which makes them compatible with BCI application.The first protocol is designed for the EEG signals.While the second protocol was designed for the ECoG signals.The evaluation results showed the validity of the proposed protocols in terms of network performance.The results also proved that the protocols are suitable and reliable for designing efficient BCI applications.展开更多
文摘针对突发和周期信号并存的应用场景,提出了一种基于分簇结构的无线传感器网络混合调度MAC协议——CBPMAC/TFC(A Cluster-based Wireless Sensor Network MAC Protocol for the System with Burst and Peri-odic Signals/Based on TDMA,FDMA,CSMA)。簇间采用基于FDMA的调度机制,簇内采用基于TDMA和CSMA的联合调度机制。提出了以簇头为基准的相对时间同步机制,同步精度为一个帧周期的时钟漂移。给出了基于能量阈值的簇头轮换策略和基于侦听的故障处理策略。理论分析和实验结果表明:CBPMAC/TFC协议在响应实时性和能量有效性方面介于CSMA和TDMA之间,与CSMA相比,在损失一定突发信号响应实时性的情况下,节省能耗18.7%;与TDMA相比,在改善突发信号响应实时性的情况下,损失能耗23.6%。
基金National Natural Science Foundation of China under Grant (60573127)the National Research Foundation for the Doctoral Program of Higher Education of China under Grant (200405333036)the Natural Science Foundation of Hunan Province of China under Grant (06JJ30032, 06JJ5098).
文摘Brain computer interface(BCI)systems permit individuals with motor disorders to utilize their thoughts as a mean to control external devices.BCI is a promising interdisciplinary field that gained the attention of many researchers.Yet,the development of BCI systems is facing several challenges,such as network lifetime.The Medium Access Control(MAC)Protocol is the bottle-neck of network reliability.There are many MAC protocols that can be utilized for dependable transmission in BCI applications by altering their control parameters.However,modifying these parameters is another source of concern due to the scarcity in knowledge about the effect of modification.Also,there is still no instrument that can receive and actualize these parameters on transmitters embedded inside the cerebrum.In this paper,we propose two novel MAC protocols using passive UHF-RFID,the proposed protocols provide efficient and reliable communication between the transmitters and the receiver.The UHF-RFID transmitters were used because they are energy efficient which makes them compatible with BCI application.The first protocol is designed for the EEG signals.While the second protocol was designed for the ECoG signals.The evaluation results showed the validity of the proposed protocols in terms of network performance.The results also proved that the protocols are suitable and reliable for designing efficient BCI applications.