项目名称: 超声波传感器认知体域网络的构建
项目编号: No.61272412
项目类型: 面上项目
立项/批准年度: 2013
项目学科: 自动化技术、计算机技术
项目作者: 杨永健
作者单位: 吉林大学
项目金额: 80万元
中文摘要: 目前体域网大都是架构在无线电传感器上,并且缺少跨层认知、自主决策等方面的特性。本项目将超声波传感器应用于穿戴式体域网,并构建基于超声波传感器的认知无线体域网络,无论是在消减其相关感知设备对人体的辐射危害,还是在解决超声波传感器认知无线网络所面临的认知、动态适配、自适应拓扑控制、网络通信等关键问题,都有着重要的科学意义和推广价值。通过建立相应的体域网认知无线网络架构模型,研究跨层机制作用下的认知环机理,解决网络认识性问题;引入无线体域网节点运动模型,通过用户环境感知和高斯过程机器学习的方法,实现节点连通性的预测,解决网络的动态适配问题;研究"生命游戏"元胞自动机指导节点状态调整,解决自适应拓扑控制问题;针对网络通信问题,引入智能Agent系统,漫游人体数据采集网络,指导报文传输。通过搭建网络与认知仿真实验环境,检验该理论体系的可用性与可靠性,以其对有关理论和方法进行改进。
中文关键词: 超声波传感器;无线体域网;动态适配;拓扑控制;通信协议
英文摘要: Most Body area networks are based on wireless sensors with the lack of cross-layer awareness, self-autonomy. This project is for wearable body area network by using ultrasonic sensors, whether it is in the reduction of the radiation hazards of the sensing equipment on the human body, or ultrasonic sensors cognitive wireless network on key issues facing the cognitive, dynamic adaptation, adaptive topology control, network communications, It has an great scientific significance and promotional value both in the reduction of the radiation hazards on the human body and in the key issues of cognition, dynamic adaptation, adaptive topology control and network communications. Through the establishment of the cognitive radio body area network architecture, cognitive loop design methods under cross-layer mechanism can be studied to solve the problem of network awareness. The problem of dynamic adaptation of the network can be discussed with the introduction of wireless body area network node motion model, user context-aware model and Gaussian process machine learning methods. "Game of Life" cellular automata is studied to adjust nodes' status in order to solve the adaptive topology control problems. As to network communication problem, the intelligent Agent system, roaming human data collection network to effect the pack
英文关键词: ultrasonic transducer;wireless body area networks;Dynamic adaptation;topology control;communication protocol