延迟容忍的移动互联网数据高效机会传送机制研究

Opportunistic transmission for the traffic of the mobile Internet can reduce the load on the backbone network effectively. The target of this project is to optimize the performance of opportunistic data delivery scheme for the mobile Internet. Based on the analysis of the relationship between context information and transmission opportunities, we can get the characteristics of the state migration of the context information, which are involved in the evolutionary process of the transmission opportunities. This project includes the topics of building predicting models for the opportunities of data sharing, the proxy based data access scheme for the mobile Internet, the optimization scheme for opportunistic transmission based on the utility awareness of the transmission opportunities, and the performance evaluation model for the opportunistic delivery scheme. Based on it, we will try to promote the predicting accuracy of the evolutionary process of the data sharing opportunities, improve the service quality of the proxies for the mobile Internet data, achieve the trade-off between the energy cost and transmission quality in multi-hop opportunistic transmission and optimize the related transmission parameters involving in the data delivery process, which are all key technologies and supporting mechanisms in the design of effective opportunistic data delivery schemes for the mobile Internet. Through this project, we can achieve the following targets. First, we can build the models to predict the fine-grained characteristics of the data sharing opportunities in multiple dimensions. Second, we can develop the proxy based data access scheme for the mobile Internet with the quality of service optimized. Third, we can design the mobile opportunistic transmission scheme with the trade-off between the energy cost and transmission quality achieved. Last but not least, for the delivery schemes which are adaptive to characteristic of user behavior, we can obtain an analytic model for the closed-form solutions of their performance, as well as an optimization model for the parameters involving in the delivery processes.

机会传输模式下的移动互联网数据传送可以有效降低骨干网络负载。本项目以优化移动互联网数据机会传送机制性能为目标, 基于对情境信息和传输机会间关联关系的分析，挖掘出传输机会演化过程中情境信息的状态迁移特征，从数据共享机会特征预测模型、基于代理的移动互联网数据访问机制、通信有效性感知的机会传输优化机制、机会传送机制性能评估模型等层面开展工作。在此基础上，从提升对数据共享机会演化过程的预测准确性、改善移动互联网数据代理节点的服务质量、平衡多跳机会传输过程中的能耗与传输质量、优化数据传送过程中相关传输参数等角度对移动互联网数据高效机会传送中所涉及的关键技术及协议支撑机制开展研究。预期研究目标为建立多维细粒度的数据共享机会特征预测模型、服务质量优化的基于代理的移动互联网数据访问机制、能耗与传输质量平衡的移动机会传输机制、用户行为特征相适应的传送机制的性能封闭解分析与参数优化模型。

本项目主要从移动互联网数据共享机会特征预测模型、基于代理方式的移动互联网数据访问机制、移动互联网数据高效传输机制、网络性能分析与优化模型等四方面展开研究。. 基于真实数据集分析移动机会网络中节点相遇特征模型，设计并实现节点间数据传输机会预测机制，进而设计高效数据传送机制；基于移动用户轨迹分析，建立数据质量与用户移动性之间关联模型，优化数据传送机制设计；基于不同移动用户所传送数据的时空关联性，利用压缩感知理论，减小传送数据的冗余性，降低网络传输开销。. 考虑节点间相遇机会的不平衡性，选择部分节点作为代理节点，进行移动互联网数据访问接入。设计并实现代理节点选择算法，选择出部分节点作为数据收集和传送的关键节点。针对异构网络环境，开展代理节点移动互联网接入机制研究，设计并实现接入网络选择算法、安全保证策略。引入边缘计算技术，开展代理节点任务调度机制研究。. 为实现移动互联网数据高效传输，分别引入全双工无线通信、载波聚合、频谱动态分配等先进通信技术，基于网络流理论、拍卖理论、随机博弈理论等，考虑成本开销和传输质量之间权衡，先后开展数据路由与链路调度联合优化研究、服务质量感知且公平的移动通信资源分配策略研究、基于随机博弈的移动机会网络数据传送激励机制研究。. 在网络性能分析与优化模型方面，基于随机网络演算、排队论等理论，分别对不同节点分布下网络中数据流的到达过程和服务过程进行建模，提出了一种基于随机网络演算的网络访问延迟界限分析方法；研究了软件定义网络架构下感知数据流量接入模型与性能评价问题；针对5G网络架构下数据延迟分析展开研究，并探索了延迟优化机制。. 在理论工作基础上，本项目基于机会通信技术，设计并实现了面向社会安全事件的移动机会群智感知平台；针对基于代理方式的数据转发和处理，设计并实现了边缘计算支持下感知数据深度学习系统；针对采集到数据的后台处理，设计并实现了海量感知数据存储与查询系统。