ZigBee组网技术研究
发布时间:2018-07-01 18:30
本文选题:ZigBee + 路由算法 ; 参考:《广东工业大学》2017年硕士论文
【摘要】:近年来,随着我国人口老龄化趋势的加剧,慢性病与退化性疾病患者日益增多。慢性病和退化性疾病的治疗强调“治疗为主,监护为辅”。在常规的医疗治疗手段之外,还需要对病人进行长期不间断的生理参数监控,以预防突发症状以及为医生的后续治疗提供诊断依据。然而传统医疗监护设备存在体型大、成本高、位置固定、接线复杂的缺点,限制了医疗监护设备在实际治疗中的应用,并且医疗监护的成本巨大。ZigBee是一种短距离、低功耗的无线通信技术。它具有自组织、动态性、大规模和与应用相关的组网特点,适合用于自动检测、自动控制和远程控制领域,方便嵌入于各种底层自动化设备中。因此在物联网时代,它有着非常广阔的应用前景。基于无线通信技术的ZigBee网络也为医疗监护领域带来了新的解决方案。本课题针对实时监测常处于移动中的特殊人群如:慢性病患者、退化性疾病和高危传染病患者等的生理参数监测问题,对所采用的ZigBee组网技术进行研究和优化,使它更适合于大规模网络和网络拓扑动态变化的组网环境。首先,本论文对比了几种常用的短距离无线通信技术的性能和特点,针对实时监测常处于移动中的特殊人群应用对象,认为ZigBee技术更适合应用于无线生理参数监测网。接下来,对IEEE802.15.4/ZigBee标淮协议栈进行了简单介绍,阐述了ZigBee网络从组网到路由的技术原理。尤其对ZigBee网络的三种传统路由算法(Cluster-Tree,AODVjr和ZBR)进行了详细的分析,并得出它们在大规模和网络拓扑动态变化的组网环境下存在过多冗余路由控制开销分组的结论。本文进一步针对ZigBee传统路由算法高控制开销的缺陷,提出两种改进思路。它们分别从路由请求分组的广播转发跳数和路由请求分组的转发方向来实现对路由请求分组广播范围的精确控制。以减少路由控制开销,提升网络的性能。然后,针对医院这一特定应用环境搭建NS2应用仿真环境,对该无线通信网络路由协议进行仿真,仿真结果表明这种改进后的ZBR算法有效的降低了网络中的路由控制开销,达到了期望的设计要求。
[Abstract]:In recent years, with the aggravation of aging population in China, the number of chronic and degenerative diseases is increasing day by day. The treatment of chronic diseases and degenerative diseases emphasizes that "treatment is the priority, and care is secondary". In addition to the conventional medical treatment, it is also necessary to monitor the patient's physiological parameters for a long time, in order to prevent sudden symptoms and provide diagnostic basis for the doctor's follow-up treatment. However, the traditional medical monitoring equipment has the disadvantages of large size, high cost, fixed position and complex wiring, which limits the application of medical monitoring equipment in actual treatment, and the cost of medical monitoring is huge. ZigBee is a short distance. Low power wireless communication technology. It has the characteristics of self-organization, dynamic, large-scale and application-related networking. It is suitable for automatic detection, automatic control and remote control, and is convenient to embed in all kinds of underlying automation equipment. Therefore, in the Internet of things era, it has a very broad application prospects. ZigBee network based on wireless communication technology has also brought a new solution to the field of medical monitoring. In this paper, the ZigBee networking technology is studied and optimized for real-time monitoring of physiological parameters of special people, such as patients with chronic diseases, degenerative diseases and high risk infectious diseases. It is more suitable for large-scale network and network topology dynamic changing networking environment. Firstly, this paper compares the performance and characteristics of several commonly used short-range wireless communication technologies, and considers that ZigBee technology is more suitable for wireless physiological parameter monitoring network. Then, the IEEE 802.15.4 / ZigBee protocol stack is briefly introduced, and the technical principle of ZigBee network from networking to routing is expounded. In particular, three traditional routing algorithms for ZigBee networks (Cluster-Treegne AODVjr and ZBR) are analyzed in detail, and the conclusion is drawn that there are too many redundant routing control overhead packets in the large-scale and dynamic network environment. In order to solve the problem of high control overhead in ZigBee routing algorithm, this paper puts forward two ways to improve ZigBee routing algorithm. They can accurately control the broadcast range of routing request packets from the number of broadcast forwarding hops of routing request packets and the forwarding direction of routing request packets respectively. To reduce routing control overhead and improve network performance. Then, the NS2 application simulation environment is built for the hospital application environment. The simulation results show that the improved ZBR algorithm can effectively reduce the routing control overhead in the network. Meet the desired design requirements.
【学位授予单位】:广东工业大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TN92
【参考文献】
相关期刊论文 前10条
1 陈仕国;;浅谈短距离无线通信技术的优势与应用[J];中国新通信;2017年05期
2 贾震宇;王维;王琛;徐卫东;;可穿戴设备在医疗领域中的应用发展[J];中国医疗设备;2017年02期
3 薛波;;无线传感器网络应用综述[J];通讯世界;2017年01期
4 顾景范;;《中国居民营养与慢性病状况报告(2015)》解读[J];营养学报;2016年06期
5 张玉;姚凯学;;基于ZigBee的人体健康数据采集系统的设计[J];物联网技术;2016年12期
6 刘晋熙;;基于ZigBee的医院监护系统的研究和设计[J];科技创新与应用;2016年15期
7 徐兴梅;曹丽英;赵月玲;刘茹;;几种短距离无线通信技术及应用[J];物联网技术;2015年11期
8 解贵龙;苏维均;于重重;邵军;;能量平衡和树型路由的AODVjr改进算法研究[J];计算机仿真;2015年04期
9 袁晓;蔡志平;刘书昊;喻颖;;大规模网络仿真软件及其仿真技术[J];计算机技术与发展;2014年07期
10 陈伟宏;李仁发;;无线传感器网络仿真技术综述[J];控制工程;2014年02期
,本文编号:2088685
本文链接:https://www.wllwen.com/kejilunwen/xinxigongchenglunwen/2088685.html