共查询到13条相似文献,搜索用时 109 毫秒
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一种融合MAC层拥塞通告的混合网络TCP协议 总被引:3,自引:0,他引:3
在研究无线网络媒体接入控制(MAC)层拥塞测度的基础上,提出了一种跨层的显式拥塞通告(ECN)机制,即:当数据包中记录的请求发送(RTS)次数超过给定阈值时,通过ECN向传输控制协议(TCP)源端发送拥塞通告,从而启动TCP拥塞控制.这种跨层设计是对有线网络中基于主动队列管理(AQM)的拥塞控制的有效补充,由此可以得到一种与已有的协议无缝连接的混合网络TCP模型.通过在网络模拟器NS2中构造多流无线局域网和多跳无线/有线混合网络,对所提出的方法进行了仿真,实验结果说明该方法能够提高混合网络的性能,并且具备良好的扩展性. 相似文献
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提出一种改进的基于优先级的IEEE 802.16系统跨层调度算法,该算法综合考虑了媒体接入控制(MAC)层的业务服务质量(QoS)要求与无线信道的时变特性,通过动态调整实时轮询(rtPS)业务的优先级加权系数,在保证rtPS业务QoS要求的前提下,增加非实时轮询(nrtPS)业务和尽力而为(BE)业务的调度机会,提高nrtPS业务和BE业务的传输速率.每个连接分配的优先级根据信道和服务状态进行动态更新,每次调度优先级最高的连接.仿真结果表明,该算法能够为不同业务提供QoS保证,同时有效提高了频谱利用率和系统吞吐量. 相似文献
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为了准确地分析、判断无线网络传输控制协议(TCP)性能上界,以提高无线网络在数据传输上的服务质量(QoS),在综合分析无线网络特性的基础上,运用马尔科夫理论对无线网络TCP数据流的随机延迟上界、随机延迟抖动上界以及随机吞吐量理论上界进行了建模,并提出了一种基于随机网络演算的无线网络TCP性能上界的模型。该模型可以简化无线网络流量复杂性分析,而且能够给出网络数据流到达曲线、服务曲线、延迟上界、延迟抖动上界及吞吐量上界。研究表明,用这一模型,可以准确地预测无线网络TCP性能边界情况,这对进行无线网络TCP性能分析有重要意义。 相似文献
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针对IEEE 80216e协议的特点,提出了一种基于最小速率保证的IEEE 80216e 公平
调度(MTRFS)算法。算法支持多种业务流类型并可保障业务流的最小预约速率。该算法中
引入了补偿模式,以保障处在恶劣信道条件下的业务流的最小速率。同时,该算法对高级别
业务流和信道条件好的业务流提供尽可能多的带宽,以保障其QoS性能和系统吞吐量的最大
化。仿真表明,该算法能够保证业务流的最小预约速率,区别对待不同优先级的业务流;无
论是其公平性能还是吞吐量性能都优于传统的PF算法。该算法与IE 相似文献
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一种基于TCP/IP协议的局域网通信系统 总被引:1,自引:0,他引:1
盛青松 《中国新技术新产品》2008,(10):14-15
本文针对客户提出的要求提出了基于TCP/IP协议的局域网通信系统,介绍了局域网系统的特点后阐述了该系统的重要功能,具体阐述了利用广播模型的通信模块,并且就广播模型的不足之处提出了"超级"服务器的通信模型。 相似文献
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In this paper we develop an efficient spread-sheet production planning/scheduling model for a resource-constraint production line or a manufacturing cell that produces several products but one at a time with significant changeover time and changeover cost. There are also management and physical constraints related to the operating hours, production capacity and amount of inventory allowed. The production line/cell supplies several products to customers who pull the products according to their own operating policy (working hours) that may be different from manufacture's operating hours. We also show several real-world applications and highlight the benefits and merits of the model. 相似文献
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This paper presents a comparison of results for optimization of captive power plant maintenance scheduling using genetic algorithm (GA) as well as hybrid GA/simulated annealing (SA) techniques. As utilities catered by captive power plants are very sensitive to power failure, therefore both deterministic and stochastic reliability objective functions have been considered to incorporate statutory safety regulations for maintenance of boilers, turbines and generators. The significant contribution of this paper is to incorporate stochastic feature of generating units and that of load using levelized risk method. Another significant contribution of this paper is to evaluate confidence interval for loss of load probability (LOLP) because some variations from optimum schedule are anticipated while executing maintenance schedules due to different real-life unforeseen exigencies. Such exigencies are incorporated in terms of near-optimum schedules obtained from hybrid GA/SA technique during the final stages of convergence. Case studies corroborate that same optimum schedules are obtained using GA and hybrid GA/SA for respective deterministic and stochastic formulations. The comparison of results in terms of interval of confidence for LOLP indicates that levelized risk method adequately incorporates the stochastic nature of power system as compared with levelized reserve method. Also the interval of confidence for LOLP denotes the possible risk in a quantified manner and it is of immense use from perspective of captive power plants intended for quality power. 相似文献