Through the analysis of network topology discovery algorithm used ICMP protocol and FDB address, a novel layer topology discovery and link layer topology discovery algorithm which is suitable for campus network enviro...Through the analysis of network topology discovery algorithm used ICMP protocol and FDB address, a novel layer topology discovery and link layer topology discovery algorithm which is suitable for campus network environment is proposed based on SNMP protocol. This algorithm can rapidly and accurately calculate the second and third floors topology of the whole pipe network.展开更多
Wireless Sensor Networks are composed of autonomous sensing devices which are interconnected to form a closed network.This closed network is intended to share sensitive location-centric information from a source node ...Wireless Sensor Networks are composed of autonomous sensing devices which are interconnected to form a closed network.This closed network is intended to share sensitive location-centric information from a source node to the base station through efficient routing mechanisms.The efficiency of the sensor node is energy bounded,acts as a concentrated area for most researchers to offer a solution for the early draining power of sensors.Network management plays a significant role in wireless sensor networks,which was obsessed with the factors like the reliability of the network,resource management,energy-efficient routing,and scalability of services.The topology of the wireless sensor networks acts dri-ven factor for network efficiency which can be effectively maintained by perform-ing the clustering process effectively.More solutions and clustering algorithms have been offered by various researchers,but the concern of reduced efficiency in the routing process and network management still exists.This research paper offers a hybrid algorithm composed of a memetic algorithm which is an enhanced version of a genetic algorithm integrated with the adaptive hill-climbing algorithm for performing energy-efficient clustering process in the wireless sensor networks.The memetic algorithm employs a local searching methodology to mitigate the premature convergence,while the adaptive hill-climbing algorithm is a local search algorithm that persistently migrates towards the increased elevation to determine the peak of the mountain(i.e.,)best cluster head in the wireless sensor networks.The proposed hybrid algorithm is compared with the state of art clus-tering algorithm to prove that the proposed algorithm outperforms in terms of a network life-time,energy consumption,throughput,etc.展开更多
为了对大型电信数据网进行综合统一管理,设计并开发了基于SNMP(S imp le Network M anagem ent Pro-tocol)的综合数据网络管理系统(Sp lenNMS:Sp len Network M anagem ent System)。从网络资源、性能、故障3个方面,着重论述了该系统实...为了对大型电信数据网进行综合统一管理,设计并开发了基于SNMP(S imp le Network M anagem ent Pro-tocol)的综合数据网络管理系统(Sp lenNMS:Sp len Network M anagem ent System)。从网络资源、性能、故障3个方面,着重论述了该系统实现的关键技术,叙述了网络故障信息采集方法和Sp lenNMS的体系结构。针对资源信息种类繁多、差异性大的采集问题,采用基于任务规则的设备资源配置信息采集方法;提出一种改进的性能数据采集及存储方案,解决了海量性能数据采集管理的困难。与流行的MRTG(Mu lti Router Traffic G rap-her)软件相比,该方案减小了最小执行周期;由于采用了基于Trap扩展定义的性能告警处理方法,使性能告警的处理在形式上与设备告警一致。通过在某省会城市大型电信数据网络上的试运行表明,该系统能适应2000台网络设备左右的规模。展开更多
文摘Through the analysis of network topology discovery algorithm used ICMP protocol and FDB address, a novel layer topology discovery and link layer topology discovery algorithm which is suitable for campus network environment is proposed based on SNMP protocol. This algorithm can rapidly and accurately calculate the second and third floors topology of the whole pipe network.
基金supported by National Natural Science Foundation of China(61304256)Zhejiang Provincial Natural Science Foundation of China(LQ13F030013)+4 种基金Project of the Education Department of Zhejiang Province(Y201327006)Young Researchers Foundation of Zhejiang Provincial Top Key Academic Discipline of Mechanical Engineering and Zhejiang Sci-Tech University Key Laboratory(ZSTUME01B15)New Century 151 Talent Project of Zhejiang Province521 Talent Project of Zhejiang Sci-Tech UniversityYoung and Middle-aged Talents Foundation of Zhejiang Provincial Top Key Academic Discipline of Mechanical Engineering
文摘Wireless Sensor Networks are composed of autonomous sensing devices which are interconnected to form a closed network.This closed network is intended to share sensitive location-centric information from a source node to the base station through efficient routing mechanisms.The efficiency of the sensor node is energy bounded,acts as a concentrated area for most researchers to offer a solution for the early draining power of sensors.Network management plays a significant role in wireless sensor networks,which was obsessed with the factors like the reliability of the network,resource management,energy-efficient routing,and scalability of services.The topology of the wireless sensor networks acts dri-ven factor for network efficiency which can be effectively maintained by perform-ing the clustering process effectively.More solutions and clustering algorithms have been offered by various researchers,but the concern of reduced efficiency in the routing process and network management still exists.This research paper offers a hybrid algorithm composed of a memetic algorithm which is an enhanced version of a genetic algorithm integrated with the adaptive hill-climbing algorithm for performing energy-efficient clustering process in the wireless sensor networks.The memetic algorithm employs a local searching methodology to mitigate the premature convergence,while the adaptive hill-climbing algorithm is a local search algorithm that persistently migrates towards the increased elevation to determine the peak of the mountain(i.e.,)best cluster head in the wireless sensor networks.The proposed hybrid algorithm is compared with the state of art clus-tering algorithm to prove that the proposed algorithm outperforms in terms of a network life-time,energy consumption,throughput,etc.
文摘为了对大型电信数据网进行综合统一管理,设计并开发了基于SNMP(S imp le Network M anagem ent Pro-tocol)的综合数据网络管理系统(Sp lenNMS:Sp len Network M anagem ent System)。从网络资源、性能、故障3个方面,着重论述了该系统实现的关键技术,叙述了网络故障信息采集方法和Sp lenNMS的体系结构。针对资源信息种类繁多、差异性大的采集问题,采用基于任务规则的设备资源配置信息采集方法;提出一种改进的性能数据采集及存储方案,解决了海量性能数据采集管理的困难。与流行的MRTG(Mu lti Router Traffic G rap-her)软件相比,该方案减小了最小执行周期;由于采用了基于Trap扩展定义的性能告警处理方法,使性能告警的处理在形式上与设备告警一致。通过在某省会城市大型电信数据网络上的试运行表明,该系统能适应2000台网络设备左右的规模。
