项目名称: 基于多重感知的无线多跳通信网络泛在路由技术研究
项目编号: No.61302074
项目类型: 青年科学基金项目
立项/批准年度: 2014
项目学科: 无线电电子学、电信技术
项目作者: 秦丹阳
作者单位: 黑龙江大学
项目金额: 28万元
中文摘要: 本项目是秉承泛在通信的理念并立足于普适计算的需求,依托于具有无线泛在特征的多跳通信网络而展开的,旨在通过信息空间与物理空间的融合构造多重环境感知模型,解决多跳通信网络单一环境因素感知的局限性与多跳通信路由机制的泛在环境适应性问题。研究将从通信带宽、业务流量、本地拓扑以及链路质量等四方面建立多重感知模型;通过非饱和马尔可夫退避与Bloom滤波算法,结合MIMD环路控制以及最优搜索理论构造面向多重感知参数的普适映射,以较低时延实现感知参数从物理空间到信息空间的快速传递;最后基于所建立的感知模型与映射关系提出包括邻域状态更新、业务均衡以及本地修复在内的泛在环境自适应路由算法,以小开销实现传输路径选取原则的动态调整,从而实现提高通信效率的目标。项目研究成果将作为泛在通信网络化终端形态与无线多跳通信网络感知延伸层设计的技术支撑,为扩大已有网络覆盖范围、弱化边缘效应并推动网络融合进程提供新的解决方案。
中文关键词: 多跳通信;泛在路由;邻域更新;分布式均衡;最优搜索
英文摘要: The project has been put forward combining with the demand of environment adaptation and pervasive computing, to find the solution to perception limitations of single environment factor and the environment adaptation of the traffic transmission strategy in wireless mulitihop communication networks, through a multi-perception model established by the integration of information space and physical space. The optimal transfer rapid convergence recursion and the quality ring projection algorithm will be adopted to build a link-perception model to create a mapping from the local topology and the link quality in order to provide timely and accurate criterion for routing maintenance with low delay and overhead; an unsaturated Markov back-off and Bloom filtering algorithm will be proposed to set up the channel-perception model, and to realize the traffic bandwidth mapping with less cost based on the optimal parameters transfer of Hash judgment. Aiming at the defect in environment adaptation of existing routing mechanism, the neighborhood state adaptive updating algorithm, the traffic adaptive balancing algorithm and the adaptive routing repair algorithm will be proposed on multiple perception models with the help of MIMD loop control theory, load binary threshold division strategy and the optimal exploring theory for N-s
英文关键词: Mutihop communication;ubiquitous routing;neighborhood updating;distributed balance;optimal exploration