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网络带宽资源分配的不合理是开放性网络环境中的一个突出问题.为抑制用户自私性行为,提出基于VCG(Vickrey-Clarke-Groves)机制的网络资源竞拍分配机制.该机制具有占优策略激励兼容特性,且仅需单维竞价信息.同时给出了指导用户进行策略选取的离散随机式学习算法,进一步分析了该算法的收敛性.仿真结果表明,本文所提出的分配机制通过有效的支付惩罚,使自私用户主动选择真实带宽需求策略,抑制说谎动机;离散随机式学习算法能够正确地引导用户选择出占优策略,合理分配带宽资源. 相似文献
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为了解决数据驱动覆盖网络(DONet)中节点自私性问题,提出了一种自私感知的DONet,简称SA-DONet机制。SA-DONet赋于每个节点一个利他值,记录着该节点对其他节点的转发贡献;基于节点利他值设计的数据段请求和发送算法,保证利他值高的节点被优先服务。SA-DONet具有以下特点:首先,使用分布式方法来检测自私节点并动态的调整数据段请求和发送策略;其次,自私的评价(利他值)基于节点的历史数据,无需发送额外的探测和测量包;最后,SA-DONet保持着和DONet相当的计算复杂度。仿真结果表明,和DONet相比,即使存在一定比例的自私节点,SA-DONet机制也能提高应用层组播的总体性能,并且具有较低的控制负荷。 相似文献
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本文提出了一种基于信任机制的蓝牙组播方案,通过权重结合考虑历史信任度、朋友信任度及相似性信任度来衡量蓝牙节点信任值。并进一步对可信任区间进行分类,实现用户在传输数据过程中选择相对信任的设备节点,降低传输的安全隐患。最后本文在实际的Android的平台上实现了提出的基于信任机制的蓝牙组播。通过实际实验结果显示提出的信任的机制能抑制节点的自私性行为,提高网络的数据到到达率和增强网络传输的安全性。 相似文献
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P2P流媒体系统中自私节点的不合作行为严重破坏了P2P流媒体系统的整体性能.分析了Habib等人提出的基于等级的鼓励用户贡献转发资源的激励机制的缺陷,提出了一种改进的基于等级的激励机制.仿真实验结果表明,改进后的算法具有更好的性能,能更有效的抑制自私节点的行为. 相似文献
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在IEEE802.15.4MAC协议的GTS分配机制调度算法中,在同一信标周期同时最多只能对7个网络设备节点分配GTS,并且不能保证分配的GTS得到充分的利用,提出了一种改进的保障时隙分配机制,根据传输时延要求使多个设备节点共享多个GTS,新的分配机制能很好地满足时延性要求,而且能够提高GTS利用率. 相似文献
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匿名通信系统中自私行为的惩罚机制研究 总被引:3,自引:0,他引:3
针对匿名通信系统中成员自私行为带来的“Free-Riding”问题进行了研究,量化地分析了匿名通信系统中的自私成员数量对于系统匿名性及工作效率的影响。结果表明,在系统中存在大量自私成员的情况下,匿名通信系统无法保证其匿名性及效率。基于区分服务思想提出一种针对系统中成员自私行为的惩罚机制。理论分析表明;应用惩罚机制后的匿名系统在仍然保证成员的匿名性的前提下,能够有效降低自私成员的工作效率,从而减少自私行为的发生。 相似文献
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Anargyros J. Roumeliotis Stavroula Vassaki Athanasios D. Panagopoulos 《Wireless Personal Communications》2018,98(1):337-362
This paper studies the case of an overlay cognitive radio network where the primary user leases spectral resources to the secondary user in exchange for cooperation, considering that both type of users have specific quality of service requirements. We investigate the problem of joint power and time allocation for the secondary access during the cooperative phase, with a view to optimizing the effective capacity of the primary user given an average energy constraint for the secondary user. Afterwards, the optimal power allocation of the secondary user for its own transmission phase is investigated in order to maximize the effective capacity of the secondary link. The proposed joint power and time allocation mechanism is compared with an optimal time/constant power allocation scheme and a less sophisticated baseline allocation scheme, i.e. power allocation under constant time and its superiority is proven for various network parameters. The reference model of one primary–one secondary user is extended to a general multi user cognitive radio network through the proposed pairing mechanism based on matching theory. Particularly, considering the remarks of the reference scenario, we propose two different matching schemes (with/without consideration of primary users’ quality of service requirements) and we confirm their superiority compared to other matching mechanisms. 相似文献
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The two-way relay cooperation for underlay cognitive radio networks based on WIPT was presented,where secondary system adopted the two-way relay cooperative transmission.First,the relay adopted a power splitting protocol to harvest energy and to decode information transmitted by secondary users,then the relay forwarded information to two secondary users by using the harvested energy.Subsequently the exact expression of the outage probability,the ergodic capacity and energy efficiency of the secondary user system were derived.Finally,numerical simulation discusses the impact on the system performance with regard to secondary transmission power.The results reveal that the two-way relay cooperation effectively reduces the outage probability of data transmission.The capacity and energy efficiency of the system reaches optimal level when the power allocation coefficient is 0.5. 相似文献
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An algorithm to optimize the power allocation by maximizing the system throughput in cognitive radio energy harvesting networks was proposed.The algorithm formulated the throughput optimization model subject to the causality constraints of the harvested energy within the two secondary users and the interference constraint of the primary user.In addition,by applying the variable-substitution method and problem equivalence transformation,the joint optimization problem of power and cooperative energy was decoupled into two problems:a power allocation problem and a cooperative energy one.The former problem could be solved by iterating the two decoupled problems.As shown in the simulation results,the energy cooperation can significantly improve the system throughput when the harvested energy difference between two nodes is rather large. 相似文献
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针对D2D辅助的云雾混合架构下资源分配及任务卸载决策优化问题,该文提出一种基于多智能体架构深度强化学习的资源分配及卸载决策算法。首先,该算法考虑激励约束、能量约束以及网络资源约束,联合优化无线资源分配、计算资源分配以及卸载决策,建立了最大化系统总用户体验质量(QoE)的随机优化模型,并进一步将其转化为MDP问题。其次,该算法将原MDP问题进行因式分解,并建立马尔可夫博弈模型。然后,基于行动者-评判家(AC)算法提出一种集中式训练、分布式执行机制。在集中式训练过程中,多智能体通过协作获取全局信息,实现资源分配及任务卸载决策策略优化,在训练过程结束后,各智能体独立地根据当前系统状态及策略进行资源分配及任务卸载。最后,仿真结果表明,该算法可以有效提升用户QoE,并降低了时延及能耗。 相似文献
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Miwa T. Nishihara N. Yamamoto K. 《Semiconductor Manufacturing, IEEE Transactions on》2005,18(4):510-516
In order to improve productivity in the photolithography process of high-product mix/low-volume factories, an automated stepper load balance allocation system was developed. The system enables us to maintain a balanced load distribution of tool constraint layers among all steppers. We developed a processing time estimation function and a load balance allocation function. The processing time estimation function calculates accurate loads based on the processing times related to the product, the process layer, and the stepper. The load balance allocation function was realized by applying a dynamic programming method. The system has decreased the deviation in the total processing time among all steppers by 10%, compared to the conventional manual allocation method. 相似文献
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文中研究了基于边缘计算的无人机移动辅助卸载技术,对促进无人机发展、提升其经济价值具有重要的意义。值得注意的是,当前我国需要实现无人机辅助边缘计算系统的能耗最小化、用户时延最小化、系统吞吐量最大化、无人机能耗最小化等,以促进无人机技术高质量发展。基于此,文中提出了利用合理的计算卸载机制,使无人机在卸载过程中的位置适宜化,实现了用户任务的分配高效、无人机运动建模、无人机轨迹优化,并设计了用户终端任务分配方案、优化算法,从而设计出一种快速收敛的算法,推动无人机技术的快速发展。 相似文献
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针对一对主用户和M对次用户构成的认知无线电网络(cognitive radio network,CRN),研究了非线性能量收集的认知无线电网络的次用户吞吐量最大化问题。具体来说,对于考虑次用户发射器(secondary transmitter,ST)电路功率的情况,首先将主用户吞吐量需求下的次用户吞吐量最大化(secondarythroughput maximization,STM)问题建模为一个非线性优化问题,然后将它转化成凸优化问题,最后提出一种联合使用黄金分割和二分法的低复杂度算法,获得主用户发射器(primarytransmitter,PT)能量传输和次用户信息传输的最优时间分配以及主用户发射器的最优发射功率。对于忽略次用户发射器电路功率的情况,首先证明次用户吞吐量最大化问题的凸特性,然后设计了一个更高效的算法来求解。仿真结果表明,相比等时间分配方案和链路增益优先级方案,提出的设计算法能显著提升次用户吞吐量。 相似文献