面向社群智能的认知网络中机会数据通信机制研究

项目名称： 面向社群智能的认知网络中机会数据通信机制研究

项目编号： No.61502092

项目类型： 青年科学基金项目

立项/批准年度： 2016

项目学科： 自动化技术、计算机技术

项目作者： 李婕

作者单位： 东北大学

项目金额： 21万元

中文摘要： 认知网络具有智能感知和认知反馈能力，感知网络环境变化并预测网络未来状态，根据用户需求自适应地进行网络资源配置和行为决策，实现网络性能最优化。本项目通过认知网络和社群智能技术将人类社会活动与认知网络架构相融合，深入研究机会数据通信机制，形成自主运营的网络通信系统。主要研究内容：研究基于节点移动轨迹分析和社会关系挖掘的移动节点位置预测模型，保证低延迟的机会数据通信服务；研究基于节点移动模型和机会通信特征分析的机会通信群组构造方法，保证高效的机会数据通信服务；研究基于机会数据通信过程中节点行为的可信度算法，构建科学合理的节点声望评价模型，保证可信的机会数据通信服务；结合数据类型、节点声望、竞价等要素设计节点激励策略，保证节点提供持续可信的机会通信服务，同时减少系统激励开销；研究基于节点移动位置预测、机会群组构造以及用户声望激励模型的机会数据通信机制；构建原型系统并对设计的算法进行验证。

中文关键词： 机会数据通信；认知网络；社群智能；移动位置预测；声望激励

英文摘要： Cognitive networks have capabilities of intelligent sensing and cognitive feedback, perceive the network environment variation and predict the future state of the network, make behavioral decisions and resource allocation adaptively according to the demands of the users and optimize performance of the entire network. This project integrates human social activities and the architecture of cognitive networks by means of the technologies of cognitive networks and social intelligence, makes deep research on the opportunistic data communication schemes and forms an independent - operation network communication system. The main researches are as follows. The mobile node location predication mechanism is studied based on the mobile node trajectory analysis and social relationship extraction in order to decrease the latency of the opportunistic data communication. Communication creation methods for opportunistic data communication are addressed based on node mobility model and characteristics analysis of the opportunistic communication to ensure the efficiency of the opportunistic data communication. A scientific and rational user comprehensive reputation evaluation model is to be designed based on the trustworthiness degree algorithm according to node behaviors under opportunistic communication, which is to ensure trustful services of opportunistic data communication. Combined with the essential factors such as data types, node reputation and bid prices, an incentive strategy will be investigated to ensure the persistence and reliability on opportunistic data communication services provided by nodes, and minimize the incentive cost of the system. Opportunistic data communication schemes will be investigated based on node location prediction, opportunistic communication creation and reputation based incentive schemes. Finally, we will build a prototype system for algorithm validation and performance evaluation.

英文关键词： opportunistic data communication;cognitive networks;social community intelligence;mobile location prediction;reputation-based incentive