应用于WBAN的IEEE 802.15.6协议的仿真分析与优化

发布时间：2018-01-06 11:46

本文关键词：应用于WBAN的IEEE 802.15.6协议的仿真分析与优化　出处：《西安电子科技大学》2014年硕士论文　论文类型：学位论文

【摘要】：近年来，随着可穿戴式医疗传感器和无线通信技术的迅速发展，WBAN已经成为一种非常有前景的技术，将会彻底地改变当前的医疗护理方式。与传统的面对面诊断不同，WBAN可以对病人进行远程、连续和实时的监护，将采集到的病人相关数据经过处理后传输给医疗数据基站。这样，医疗护理过程可以更加方便和快捷，在很大程度上提高医疗护理的效率。 IEEE802.15TG6小组设计了一个应用于WBAN的低功率的通信标准IEEE802.15.6，在这个标准中规定了MAC层的接入方式以及物理层的一些参数，同时对于传感器节点间的安全通信设计了一个安全规定。设计无线人体局域网（WBAN）的安全机制时会面临安全与效率之间的权衡。一方面，WBAN中采集和存储的大多是病人的生理数据，这些数据对于病人的诊断和治疗来说至关重要，因此确保这些数据的安全是非常重要的。对真实数据的获取失败可能使病人无法接受有效的治疗，甚至导致错误的治疗。另一方面，传感器的体积通常很小，能量的供应也相对有限，这使得他们在计算和存储方面的性能较差；但是频繁地充电或者更换电池对于传感器节点，尤其是植入人体内部的传感器节点来说更是不可取的，所以传感器节点所使用的加密算法应该尽可能地轻量级，应能够满足计算速度快和存储开销小等特点。本文首先对IEEE802.15.6标准进行了大致介绍，然后针对其中的安全规定进行了主要的介绍和详细的理论分析，并使用Opnet Modeler仿真工具对协议中的安全关联过程进行了建模仿真，分析其能量消耗情况以及完成一次方针所需要的时间。紧接着，本文提出了一种基于生物特征的安全关联协议。这个方案使用传感器节点采集到的共同的生理特征数据作为相互间秘密共享的信息，以此为基础通过安全关联过程建立起一个共同的主密钥MK；由于使用的生理信息是传感器本身采集到的相同数据，所以省去公共信息的传输，同时也节省了安全关联帧的长度，减少了计算量，在提供安全性的基础上降低了完成安全关联过程所需要的能量消耗，同时因为减少了信息交互的次数也缩短了完成安全关联所用的时间。
[Abstract]:In recent years, with the rapid development of wearable medical sensors and wireless communication technology, WBAN has become a very promising technology, will completely change the current mode of medical care. Unlike the traditional face diagnosis, WBAN can be remotely to the patient, even continued monitoring and real time, will be collected patient related data transmitted after treatment to the medical data base. So the process of care can be more convenient and efficient, improve the efficiency of medical care to a great extent.
IEEE802.15.6 communication standard low power IEEE802.15TG6 team designed an application on the WBAN, some of the parameters in this standard access mode of MAC layer and physical layer is provided, at the same time for secure communication between the sensor nodes in the design of a safety regulations. The design of wireless body area network (WBAN) security mechanism will face a trade-off between safety and efficiency. On the one hand, the WBAN collection and storage are the patient's physiological data, these data is very important for the diagnosis and treatment of the patient, thus ensuring the security of these data is very important. To obtain the real data of the failure may cause the patient to accept effective treatment, even lead to wrong treatment. On the other hand, the sensor volume is usually very small, the supply of energy is relatively limited, which makes them in terms of computation and memory performance is poor; but Frequently charge or replace the battery for sensor nodes, especially the sensor node implanted within the human body but it is not desirable, so the encryption algorithm of sensor nodes should be lightweight, should be able to meet the fast calculation speed and small storage overhead and so on.
This paper first makes a general introduction to the IEEE802.15.6 standard, then according to the safety regulations which were mainly introduced and detailed analysis theory, and the security association agreement process was simulated using Opnet Modeler simulation tool to analyze the energy consumption and the completion of a policy required by the time. Then, this paper a security association agreement based on biological characteristics. This scheme uses common sensor nodes to collect physiological feature data as a mutual secret sharing of information, on the basis of the security association process to establish a common key MK; because of the physiological information used is the same as the data collected by the sensor itself. So save public information transmission, but also save the security association frame length, reducing the amount of calculation, based on safety It reduces the energy consumption required to complete the security association process, while reducing the number of information interaction reduces the time used to complete the security association.

【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN915.08

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