面向智慧城市的智慧通信网络群体合作行为研究

项目名称： 面向智慧城市的智慧通信网络群体合作行为研究

项目编号： No.61305148

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 自动化技术、计算机技术

项目作者： 朱平

作者单位： 浙江工商大学

项目金额： 24万元

中文摘要： 智慧通信网络（Smart Communication Networks，SCN）中，移动终端采用中继合作技术提高通信质量，是当前无线通信发展的新趋势。然而，现有的中继合作技术由于引入大量额外通信，导致通信延时大、成本高、持续工作时间短等问题。针对这些不足，本项目通过对实际通信系统中，用户时变运动规律及用户间动态组织关系的分析，构建无标度动态智慧通信网络（Scale-Free Dynamic SCN, SF-DSCN）模型，采用动态空间演化博弈分析的方法，促进SCN中群体合作行为的涌现并加以维持，保证用户的高质量通信。在此基础上，进一步进行复杂系统分析，设计"时间受控学习机制"，降低通信延时；设计"空间受控学习机制"，缩减通信成本；设计"能量受控学习机制"，延长通信续航。项目的研究对提高SCN通信质量，控制无线通信在时间、空间以及能量三个维度的开销具有重要的现实意义。

中文关键词： 协作通信；复杂网络；演化博弈；群体合作；

英文摘要： In Smart Communication Networks (SCN), the wireless communication terminals use relay-cooperation techniques to improve the quality of communication, which is becoming a new trend in recent wireless communication researches. However, while improving the quality of communication, existing relay-cooperation techniques also generate large number of additional traffics, which causes to the problem of large communication delay, high communication overhead and short communication endurance. To solve these problems, we truthfully and objectively describe individual's time-varying motion law and the dynamic organizational relationships among SCN users. Based on the description, we construct a scale-free dynamic smart communication network (SF-DSCN) model and study the cooperation behavior of SCN users by applying dynamic spatial evolutionary game technology on SF-DSCN. Our objective is to promote and maintain cooperation, as well as guarantee a high communication quality. Next, we use complex system analysis method to study the SF-DSCN. We design the "time controlled learning mechanism" to control the communication delay. We study the "space controlled learning mechanism" to reduce the communication cost. We also develop the "energy controlled learning mechanism" to enhance communication endurance. To sum up, our projec

英文关键词： Cooperative Communication；Complex Networks；Evolutionary Game；Group Cooperation；