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指数密闭混合运输排队网络的运行机理研究 被引量:2
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作者 李冰 轩华 李静 《系统仿真学报》 CAS CSCD 北大核心 2015年第7期1617-1627,共11页
构建由单进路车站、多进路车站以并联形式和串联形式组成的密闭混合运输排队网络,且指定车辆达到间隔和服务时间服从负指数分布。利用Matlab中的SimEvents模块对指数密闭混合运输排队网络进行仿真实验,剖析指数密闭混合运输排队网络中... 构建由单进路车站、多进路车站以并联形式和串联形式组成的密闭混合运输排队网络,且指定车辆达到间隔和服务时间服从负指数分布。利用Matlab中的SimEvents模块对指数密闭混合运输排队网络进行仿真实验,剖析指数密闭混合运输排队网络中各货运站内排队长度和等待时间的动态变化。进而研究运输排队网络中车辆分布变化规律,确定密闭混合运输排队网络的稳态车辆分布概率计算公式,分析密闭混合运输排队网络平均等待时间的变化规律,给出运行机理的解析流程。最后利用数值分析方法剖析车队规模对车辆分布类型和车辆等待时间的影响。 展开更多
关键词 密闭网络 排队网络 仿真模型 等待时间
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An energy efficiency clustering routing protocol for WSNs in confined area 被引量:9
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作者 Sun Yanjing He Yanjun +1 位作者 Zhang Beibei Liu Xue 《Mining Science and Technology》 EI CAS 2011年第6期845-850,共6页
Wireless sensor networks (WSNs) are important application for safety monitoring in underground coal mines, which are difficult to monitor due to natural conditions. Based on the characteristic of limited energy for WS... Wireless sensor networks (WSNs) are important application for safety monitoring in underground coal mines, which are difficult to monitor due to natural conditions. Based on the characteristic of limited energy for WSNs in confined underground area such as coal face and laneway, we presents an energy- efficient clustering routing protocol based on weight (ECRPW) to prolong the lifetime of networks. ECRPW takes into consideration the nodes' residual energy during the election process of cluster heads. The constraint of distance threshold is used to optimize cluster scheme. Furthermore, the protocol also sets up a routing tree based on cluster heads' weight. The results show that ECRPW had better perfor- mance in energy consumption, death ratio of node and network lifetime. 展开更多
关键词 Wireless sensor networks Confined underground area Energy efficiency Routing protocol Network lifetime
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Expected density of progress for wireless ad hoc networks with Nakagami-m fading
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作者 陈昌海 Yin Changchuan +1 位作者 Tang Jingmin Yue Guangxin 《High Technology Letters》 EI CAS 2012年第2期191-194,共4页
This paper presents the closed-form expression to the expected density of progress for wireless ad hoc networks with Nakagami-m fading. The expected density of progress is defined as the expectation of a product betwe... This paper presents the closed-form expression to the expected density of progress for wireless ad hoc networks with Nakagami-m fading. The expected density of progress is defined as the expectation of a product between the number of simultaneous successful transmission per unit area and the distance towards the destination. Numerical results show that the expected density of progress is determined by two factors, terminal density and the probability that a terminal attempts to transmit. 展开更多
关键词 ad hoe expected density of progress OUTAGE transmission region NAKAGAMI
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