Through Wireless Sensor Networks(WSN)formation,industrial and academic communities have seen remarkable development in recent decades.One of the most common techniques to derive the best out of wireless sensor network...Through Wireless Sensor Networks(WSN)formation,industrial and academic communities have seen remarkable development in recent decades.One of the most common techniques to derive the best out of wireless sensor networks is to upgrade the operating group.The most important problem is the arrangement of optimal number of sensor nodes as clusters to discuss clustering method.In this method,new client nodes and dynamic methods are used to determine the optimal number of clusters and cluster heads which are to be better organized and proposed to classify each round.Parameters of effective energy use and the ability to decide the best method of attachments are included.The Problem coverage find change ability network route due to which traffic and delays keep the performance to be very high.A newer version of Gravity Analysis Algorithm(GAA)is used to solve this problem.This proposed new approach GAA is introduced to improve network lifetime,increase system energy efficiency and end delay performance.Simulation results show that modified GAA performance is better than other networks and it has more advanced Life Time Delay Clustering Algorithms-LTDCA protocols.The proposed method provides a set of data collection and increased throughput in wireless sensor networks.展开更多
设计并实现了一款宽带低噪声放大器,采用单级负反馈拓扑结构以提高增益平坦度和稳定性。为进一步简化应用,电路采用电阻自偏压技术实现单电源供电。此外,为优化增益及噪声系数,从低噪声放大器设计理论出发,利用遗传算法对无源元件取值...设计并实现了一款宽带低噪声放大器,采用单级负反馈拓扑结构以提高增益平坦度和稳定性。为进一步简化应用,电路采用电阻自偏压技术实现单电源供电。此外,为优化增益及噪声系数,从低噪声放大器设计理论出发,利用遗传算法对无源元件取值进行了优化。该放大器采用0.25μm PHEMT GaAs工艺实现,芯片面积为1 mm×1.2 mm。测试结果表明,采用5 V单电源电压供电,总工作电流为30 m A,在30-3 000 MHz频率范围内,该放大器增益大于13 d B,噪声系数小于2.1 d B,输入反射系数小于-8.5 d B,输出反射系数小于-10 d B,1 d B压缩点输出功率大于7 d Bm。展开更多
文摘Through Wireless Sensor Networks(WSN)formation,industrial and academic communities have seen remarkable development in recent decades.One of the most common techniques to derive the best out of wireless sensor networks is to upgrade the operating group.The most important problem is the arrangement of optimal number of sensor nodes as clusters to discuss clustering method.In this method,new client nodes and dynamic methods are used to determine the optimal number of clusters and cluster heads which are to be better organized and proposed to classify each round.Parameters of effective energy use and the ability to decide the best method of attachments are included.The Problem coverage find change ability network route due to which traffic and delays keep the performance to be very high.A newer version of Gravity Analysis Algorithm(GAA)is used to solve this problem.This proposed new approach GAA is introduced to improve network lifetime,increase system energy efficiency and end delay performance.Simulation results show that modified GAA performance is better than other networks and it has more advanced Life Time Delay Clustering Algorithms-LTDCA protocols.The proposed method provides a set of data collection and increased throughput in wireless sensor networks.
文摘设计并实现了一款宽带低噪声放大器,采用单级负反馈拓扑结构以提高增益平坦度和稳定性。为进一步简化应用,电路采用电阻自偏压技术实现单电源供电。此外,为优化增益及噪声系数,从低噪声放大器设计理论出发,利用遗传算法对无源元件取值进行了优化。该放大器采用0.25μm PHEMT GaAs工艺实现,芯片面积为1 mm×1.2 mm。测试结果表明,采用5 V单电源电压供电,总工作电流为30 m A,在30-3 000 MHz频率范围内,该放大器增益大于13 d B,噪声系数小于2.1 d B,输入反射系数小于-8.5 d B,输出反射系数小于-10 d B,1 d B压缩点输出功率大于7 d Bm。
