ID 原文 译文
45436 为此，提出能量收集网络节点能量收集可靠性定义，对节点能量收集的置信程度给出评价，基于不确定理论，对能量收集的可靠性进行评估分析，分别建立节点无电池和无限容量电池情况下的可靠性模型。 For this, the energy harvesting reliability of energy harvesting nodes was defined, represented with the degree of normal operation, respectively set up the node reliability models with no battery and infinite battery.
45437 在此基础上提出能量收集可靠性多层不确定规划模型， The uncertain multilevel programming model based on node reliability was put forward, then the network efficiency was improved under the premise of ensuring node reliability.
45438 对模型求解并提出一种能量平均分配（EAA, energy average allocation）算法，并从理论上证明算法竞争比的上界。 An energy average allocation(EAA) algorithm was proposed and the upper bound of competitive ratio of the algorithm was proved theoretically.
45439 最后，以实际的风电数据为例，验证所提模型和方法的可行性和有效性。 Finally, the actual wind power data was taken as an example to verify the feasibility and effectiveness of the proposed model and method.
45440 首先，系统地分析和总结了雾计算的研究现状， Firstly, the previous work of fog computing was systematically analyzed and summarized.
45441 重点介绍了雾计算出现的背景及其相对于云计算的优势， The background of fog computing and the comparison with cloud computing were introduced.
45442 对雾计算及其他相似的计算模式进行比较，指出了雾计算相比于传统计算模式的优点。 Besides, based on the comparison with other computing style, the advantages and characteristics of fog computing were explained.
45443 然后，总结了雾计算的体系结构与各层功能。 In addition, the architecture of fog computing was described.
45444 同时，对于雾计算在网络管理和资源调度这 2 个方面的研究问题展开讨论，总结了前人提出的解决方法并指出了现有方法的不足。 Moreover, network management and resource scheduling of fog computing were discussed,where the related previous work were summarized and analyzed.
45445 最后，对于雾计算的一些相关应用进行了阐述， At last, the applications of fog computing were described.