泛在网络资源优化若干算法研究

项目名称： 泛在网络资源优化若干算法研究

项目编号： No.61201175

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 电子学与信息系统

项目作者： 夏玮玮

作者单位： 东南大学

项目金额： 25万元

中文摘要： 本项目拟深入研究泛在网络场景下资源优化的若干算法，通过对泛在网络中资源调度、接纳控制以及资源分配等算法的研究，能够在泛在网络资源优化关键技术方面有所创新。具体研究内容及目标是：研究基于神经网络和层次分析法的资源调度，综合考虑资源状态和业务需求，实现多业务最优资源调度；研究基于双向负载传递的动态接纳控制算法，建立多维Markov模型分析性能并动态地优化接纳参数，实现资源有效共享；研究泛在网络的资源分配问题，尝试应用遗传理论寻求面向移动终端的最佳资源分配方案，以实现最大化资源使用效率并保证服务质量。通过深入的理论分析、计算机仿真并辅之必要的实验，能够使泛在网络场景下资源利用得更合理，所提出的优化算法在将来能够应用于实际的泛在网络系统中。

中文关键词： 泛在网络；资源优化；带宽分配；负载传递；遗传理论

英文摘要： This project focuses on the intensive research of some algorithms of resource optimization in ubiquitous network environment. The innovative achievements on the key technologies of resource optimization in ubiquitous network can be obtained through the research on the algorithms such as resource scheduling, admission control and resource allocation. The specific research contents and objectives are as follows: research the neural network and analytic hierarchy process based resource scheduling to achieve the optimal resource scheduling for multiple services by comprehensively considering the status of resource and services requirements, research the bidirectional load transfer based dynamic admission control algorithm by developing the model of multi-dimensional Markov chains to analyze the system performance and optimizing the admission parameters dynamically to achieve the effective resource sharing, research the problem of resource allocation in ubiquitous network and try to find the optimal terminals-oriented resource allocation scheme by using genetic theory to achieve the maximization of resource utilization efficiency and guarantee the quality of service. The resource utilization in ubiquitous network environment can be more reasonable and the proposed optimization algorithms can be applied in the realist

英文关键词： ubiquitous network；resources optimization；bandwidth allocation；load transfer；genetic theory