将认知无线电中的动态频谱分配技术应用在无线传感网中,针对工作在ISM(industrial,scientific and medical)频段的无线传感网面临的频谱资源紧缺问题,提出一种基于改进自适应遗传算法的动态频谱分配方案。该算法以图论着色模型为基础,...将认知无线电中的动态频谱分配技术应用在无线传感网中,针对工作在ISM(industrial,scientific and medical)频段的无线传感网面临的频谱资源紧缺问题,提出一种基于改进自适应遗传算法的动态频谱分配方案。该算法以图论着色模型为基础,以最大带宽收益和最小切换频率为目标函数,在交叉和变异过程中采用自适应交叉概率和变异概率代替固定的交叉概率和变异概率。仿真结果表明,与传统遗传算法和颜色敏感图论着色算法相比,该算法可以实现提高频谱利用率、降低能量消耗的预期目标。展开更多
认知无线传感网络(Cognitive Radio Sensor Networks,CRSNs)利用空闲频段缓解频谱资源短缺问题。CRSNs主要基于无线传感网络(Wireless Sensor Networks,WSNs),但基于WSNs的簇路由不再适用于CRSNs。为此,对认知无线传感网络的簇路由进行...认知无线传感网络(Cognitive Radio Sensor Networks,CRSNs)利用空闲频段缓解频谱资源短缺问题。CRSNs主要基于无线传感网络(Wireless Sensor Networks,WSNs),但基于WSNs的簇路由不再适用于CRSNs。为此,对认知无线传感网络的簇路由进行研究,并提出基于节点权值优化的簇路由(Cluster routing based on node weight optimization,CRNW)。先依据频谱感知和能量信息计算节点权值,再依据权值择优产生簇头,进而形成簇。再依据簇结构传输数据。仿真结果表明,相比于基于频谱感知的能效簇路由(Spectrum-aware Clustering for Energy-Efficient Routing,SCEER),提出的CRNW路由有效地控制能耗和传输时延。展开更多
目前在认知无线传感网(cognitive radio sensor network,CRSN)领域提出的路由方法,存在着严重的路径不稳定和信道竞争问题。因此,提出了一种新的路由方法,目的是在降低节点能耗的前提下提高路径的稳定性和节点的转发率。目前大量文献提...目前在认知无线传感网(cognitive radio sensor network,CRSN)领域提出的路由方法,存在着严重的路径不稳定和信道竞争问题。因此,提出了一种新的路由方法,目的是在降低节点能耗的前提下提高路径的稳定性和节点的转发率。目前大量文献提出的方法没有综合考虑路径的跳数、信道切换、信道竞争和能耗这些因素。而在考虑这些因素的同时还采用了载波侦听多次访问(carrier sense multiple access,CSMA)和时分复用(time division multiple access,TDMA)混合的媒介访问模式去实现节点间的通信。通过实验结果证明,提出的路由方法比现有方案更节能。展开更多
在实际的无线环境中,阴影和衰落的影响会导致传感节点接收到的信号具有不同的特征。因此,深度衰落中的一些协作节点会出现严重的漏检,这将影响融合操作的最终结果。针对上述问题,提出一种基于熵权法的认知无线传感网(cognitive radio se...在实际的无线环境中,阴影和衰落的影响会导致传感节点接收到的信号具有不同的特征。因此,深度衰落中的一些协作节点会出现严重的漏检,这将影响融合操作的最终结果。针对上述问题,提出一种基于熵权法的认知无线传感网(cognitive radio sensor network,CRSN)软决策协作频谱感知方法。该方法将传感器节点组织成逻辑组,以获得能源效率和传感性能的提高,在接收到来自所有成员节点的软传感信息后,簇头采用等增益的软融合来进行簇间融合,然后将局部决策转发给融合中心,在最终决策过程中,采用熵权法为相应的聚类局部决策分配最优权值。仿真结果表明,该方法检测概率和总误差概率方面均优于典型的协作频谱感知分簇方案。展开更多
The Internet of Things （loT） is called the world＇ s third wave of the information industry. As the core technology of IoT, Cognitive Radio Sensor Networks （CRSN） technology can improve spectrum utilization effici...The Internet of Things （loT） is called the world＇ s third wave of the information industry. As the core technology of IoT, Cognitive Radio Sensor Networks （CRSN） technology can improve spectrum utilization efficiency and lay a sofid foundation for large-scale application of IoT. Reliable spectrum sensing is a crucial task of the CR. For energy de- tection, threshold will determine the probability of detection （Pd） and the probability of false alarm Pf at the same time. While the threshold increases, Pd and Pf will both decrease. In this paper we focus on the maximum of the difference of Pd and Pf, and try to find out how to determine the threshold with this precondition. Simulation results show that the proposed method can effectively approach the ideal optimal result.展开更多
To the existing spectrum sharing schemes in wireless-powered cognitive wireless sensor networks,the protocols are limited to either separate the primary and the secondary transmission or allow the secondary user to tr...To the existing spectrum sharing schemes in wireless-powered cognitive wireless sensor networks,the protocols are limited to either separate the primary and the secondary transmission or allow the secondary user to transmit signals in a time slot when it forwards the primary signal.In order to address this limitation,a novel cooperative spectrum sharing scheme is proposed,where the secondary transmission is multiplexed with both the primary transmission and the relay transmission.Specifically,the process of transmission is on a three-phase time-switching relaying basis.In the first phase,a cognitive sensor node SU1 scavenges energy from the primary transmission.In the second phase,another sensor node SU2 and primary transmitter simultaneously transmit signals to the SU1.In the third phase,the node SU1 can assist the primary transmission to acquire the opportunity of spectrum sharing.Joint decoding and interference cancellation technique is adopted at the receivers to retrieve the desired signals.We further derive the closed-form expressions for the outage probabilities of both the primary and secondary systems.Moreover,we address optimization of energy harvesting duration and power allocation coefficient strategy under performance criteria.An effective algorithm is then presented to solve the optimization problem.Simulation results demonstrate that with the optimized solutions,the sensor nodes with the proposed cooperative spectrum sharing scheme can utilize the spectrum in a more efficient manner without deteriorating the performance of the primary transmission,as compared with the existing one-directional scheme in the literature.展开更多
文摘将认知无线电中的动态频谱分配技术应用在无线传感网中,针对工作在ISM(industrial,scientific and medical)频段的无线传感网面临的频谱资源紧缺问题,提出一种基于改进自适应遗传算法的动态频谱分配方案。该算法以图论着色模型为基础,以最大带宽收益和最小切换频率为目标函数,在交叉和变异过程中采用自适应交叉概率和变异概率代替固定的交叉概率和变异概率。仿真结果表明,与传统遗传算法和颜色敏感图论着色算法相比,该算法可以实现提高频谱利用率、降低能量消耗的预期目标。
文摘认知无线传感网络(Cognitive Radio Sensor Networks,CRSNs)利用空闲频段缓解频谱资源短缺问题。CRSNs主要基于无线传感网络(Wireless Sensor Networks,WSNs),但基于WSNs的簇路由不再适用于CRSNs。为此,对认知无线传感网络的簇路由进行研究,并提出基于节点权值优化的簇路由(Cluster routing based on node weight optimization,CRNW)。先依据频谱感知和能量信息计算节点权值,再依据权值择优产生簇头,进而形成簇。再依据簇结构传输数据。仿真结果表明,相比于基于频谱感知的能效簇路由(Spectrum-aware Clustering for Energy-Efficient Routing,SCEER),提出的CRNW路由有效地控制能耗和传输时延。
文摘目前在认知无线传感网(cognitive radio sensor network,CRSN)领域提出的路由方法,存在着严重的路径不稳定和信道竞争问题。因此,提出了一种新的路由方法,目的是在降低节点能耗的前提下提高路径的稳定性和节点的转发率。目前大量文献提出的方法没有综合考虑路径的跳数、信道切换、信道竞争和能耗这些因素。而在考虑这些因素的同时还采用了载波侦听多次访问(carrier sense multiple access,CSMA)和时分复用(time division multiple access,TDMA)混合的媒介访问模式去实现节点间的通信。通过实验结果证明,提出的路由方法比现有方案更节能。
文摘在实际的无线环境中,阴影和衰落的影响会导致传感节点接收到的信号具有不同的特征。因此,深度衰落中的一些协作节点会出现严重的漏检,这将影响融合操作的最终结果。针对上述问题,提出一种基于熵权法的认知无线传感网(cognitive radio sensor network,CRSN)软决策协作频谱感知方法。该方法将传感器节点组织成逻辑组,以获得能源效率和传感性能的提高,在接收到来自所有成员节点的软传感信息后,簇头采用等增益的软融合来进行簇间融合,然后将局部决策转发给融合中心,在最终决策过程中,采用熵权法为相应的聚类局部决策分配最优权值。仿真结果表明,该方法检测概率和总误差概率方面均优于典型的协作频谱感知分簇方案。
基金supported in part by the National Natural Science Foundation of China(Grant Nos.60971082,60872049,60972073and60871042)the National Key Basic Research Program of China(Grant No.2009CB320400)+1 种基金the National Great Science Specific Project(Grant Nos.2009ZX03003-001,2009ZX03003-011and2010ZX03001003)Chinese Universities Scientific Fund,China
文摘The Internet of Things （loT） is called the world＇ s third wave of the information industry. As the core technology of IoT, Cognitive Radio Sensor Networks （CRSN） technology can improve spectrum utilization efficiency and lay a sofid foundation for large-scale application of IoT. Reliable spectrum sensing is a crucial task of the CR. For energy de- tection, threshold will determine the probability of detection （Pd） and the probability of false alarm Pf at the same time. While the threshold increases, Pd and Pf will both decrease. In this paper we focus on the maximum of the difference of Pd and Pf, and try to find out how to determine the threshold with this precondition. Simulation results show that the proposed method can effectively approach the ideal optimal result.
基金Project (61201086) supported by the National Natural Science Foundation of ChinaProject (201506375060) supported by the China Scholarship Council+2 种基金Project (2013B090500007) supported by Guangdong Provincial Science and Technology Project,ChinaProject (2014509102205) supported by the Dongguan Municipal Project on the Integration of Industry,Education and Research,ChinaProject (2017GK5019) supported by 2017 Hunan-Tech&Innovation Investment Project,China
文摘To the existing spectrum sharing schemes in wireless-powered cognitive wireless sensor networks,the protocols are limited to either separate the primary and the secondary transmission or allow the secondary user to transmit signals in a time slot when it forwards the primary signal.In order to address this limitation,a novel cooperative spectrum sharing scheme is proposed,where the secondary transmission is multiplexed with both the primary transmission and the relay transmission.Specifically,the process of transmission is on a three-phase time-switching relaying basis.In the first phase,a cognitive sensor node SU1 scavenges energy from the primary transmission.In the second phase,another sensor node SU2 and primary transmitter simultaneously transmit signals to the SU1.In the third phase,the node SU1 can assist the primary transmission to acquire the opportunity of spectrum sharing.Joint decoding and interference cancellation technique is adopted at the receivers to retrieve the desired signals.We further derive the closed-form expressions for the outage probabilities of both the primary and secondary systems.Moreover,we address optimization of energy harvesting duration and power allocation coefficient strategy under performance criteria.An effective algorithm is then presented to solve the optimization problem.Simulation results demonstrate that with the optimized solutions,the sensor nodes with the proposed cooperative spectrum sharing scheme can utilize the spectrum in a more efficient manner without deteriorating the performance of the primary transmission,as compared with the existing one-directional scheme in the literature.
