A Secure Mutual Authentication Scheme of Blockchain-Based in WBANs

Wireless Body Area Networks(WBANs)refer to small sensor network that consists of sensor devices mounted on the surface of the body or implanted in the body,as such networks are employed to harvest physiological data of the human body or to act as an assistant regulator of several specific physiological indicators of the human body.The sensor devices transmit the harvested human physiological data to the local node via a public channel.Before transmitting data,the sensor device and the local node should perform mutual authentication and key agreement.It is proposed in this paper a secure mutual authentication scheme of blockchain-based in WBANs.To analyze the security of this scheme,formal security analysis,and informal security analysis are used,then the computation and communication costs are compared with those of the relevant schemes.Relevant experimental results reveal that the proposed scheme exhibit more effective control over energy consumption and promising.

Design of a Mutual Authentication and Key Agreement Protocol for WBANs

Please WBANs are a sensor network for detection and collection of sensitive data to the human body,which is lightweight and mobile.WBANs transmit sensitive and significant messages through the public channel,which makes it easy for an attacker to eavesdrop and modify the messages,thus posing a severe threat to the security of the messages.Therefore,it is essential to put in place authentication and key agreement between different communication nodes in WBANs.In this paper,a lightweight and secure authenticated key agreement protocol in wireless body area networks is designed.It is capable to reduce the cost of sensor node computation while ensuring security.Besides,an informal security analysis is conducted to discuss the security of the protocol against well-known attacks.Finally,the energy consumption of the protocol is evaluated,and the results show that the sensor nodes only need low storage cost,computational cost and communication cost.

基于拓扑优化和链路感知的无线体域网路由协议

为解决无线体域网(Wireless Body Area Networks,WBAN)在人体运动过程中网络拓扑结构频繁变化导致链路质量和WBAN性能下降等问题,首先根据人体结构对WBAN网络拓扑进行优化,通过添加中继节点建立WBAN主干网,提供节点和hub之间相对稳定的链接,然后提出了适用于WBAN拓扑优化后的路由策略(Routing Protocol Based on Topology Optimization and Link Awareness,R-TOLA)。R-TOLA综合了链路质量感知和代价函数,通过调整主干网中继和节点中继获得最优化路径。仿真实验表明,基于拓扑结构优化和链路感知的R-TOLA协议和其他路由协议相比,在人体拓扑网络结构频繁变化的环境下具有网络生存时间更长、吞吐量更大等优势。

Priority Based Energy Efficient MAC Protocol by Varying Data Ratefor Wireless Body Area Network

Wireless Body Area Network(WBAN)is a cutting-edge technology that is being used in healthcare applications to monitor critical events in the human body.WBAN is a collection of in-body and on-body sensors that monitor human physical parameters such as temperature,blood pressure,pulse rate,oxygen level,body motion,and so on.They sense the data and communicate it to the Body Area Network(BAN)Coordinator.The main challenge for the WBAN is energy consumption.These issues can be addressed by implementing an effective Medium Access Control(MAC)protocol that reduces energy consumption and increases network lifetime.The purpose of the study is to minimize the energy consumption and minimize the delay using IEEE 802.15.4 standard.In our proposed work,if any critical events have occurred the proposed work is to classify and prioritize the data.We gave priority to the highly critical data to get the Guarantee Tine Slots(GTS)in IEEE 802.15.4 standard superframe to achieve greater energy efficiency.The proposed MAC provides higher data rates for critical data based on the history and current condition and also provides the best reliable service to high critical data and critical data by predicting node similarity.As an outcome,we proposed a MAC protocol for Variable Data Rates(MVDR).When compared to existing MAC protocols,the MVDR performed very well with low energy intake,less interruption,and an enhanced packet-sharing ratio.

基于概率模型的云辅助的轻量级无证书认证协议的形式化验证

匿名WBANs通信技术是保护互联网用户和服务器间隐私的最有力手段之一,但匿名WBANs无证书认证协议的形式化验证仍是亟待解决的难题。采用概率模型检测的方法对一种基于云辅助的匿名WBANs的轻量级无证书认证协议建立离散时间马尔科夫链模型,在协议建模的状态迁移中加入了攻击率,重点对攻击率进行定量分析,用概率计算树逻辑对协议属性进行描述,利用PRISM概率模型检验工具对协议进行定量分析和验证,并且与SIP协议进行性能方面的对比。验证结果表明:在匿名WBANs通信环境下,云辅助的轻量级无证书认证协议各实体间所受攻击率对协议的不可否认性、时延性和有效性有不同程度的影响,控制好攻击率可以提高协议安全性,这对医疗服务质量和实时监测效率的提高以及远程医学的基本需求有着极大的意义。

基于WBAN的智能康复护理系统设计和实现

针对传统生理参数监测的不足,基于无线体域网(WBAN)设计并实现了用于康复训练的智能康复监测护理系统。首先根据人体生理信号检测原理检测人体的心电、皮肤电阻、脉搏和体温信号,然后通过Crossbow无线传感器网络平台将检测到的数据实时传输到上位机,最后在上位机监控软件上实现对患者生理信号的实时显示和监控。文中详细介绍了系统的软、硬件设计,并对实验结果进行了处理和分析,实验结果表明该系统能对患者的生理状态进行实时监测。

无线体域网中具有生物特征的基于身份的访问控制方案

针对现有无线体域网(WBANs)中的安全和隐私性问题,为了充分利用生物特征的优势来确保WBANs内数据通信的安全性,首次提出了一种具有生物特征的基于身份的隐私保护技术,然后利用该技术在WBANs中提出了一种新的访问控制方法。在安全性方面,在随机预言机模型下是可证明安全的,并且具有机密性、认证性、完整性、不可否认性和匿名性;在性能方面,与现有方案相比,提出方案在计算开销和通信开销方面都具有优势。

模糊神经网络数据融合在体域网中的应用

针对无线体域网(WBANs)多体征参数的时变性、非线性和强相关性等特征,为有效提高医疗监测系统对病人生理变化预警的正确率,提出面向体域网的数据融合算法。采用模糊神经网络(FNN)建立数据融合决策模型,同时应用改进的粒子群优化(PSO)算法对模糊系统参数进行寻优。通过PhysioBank数据库中重症监护室真实数据进行网络训练与测试,测试结果表明:数据融合模型能够有效处理复杂的生理参数,同时取得了高检出率与低误报警率。

无线体域网抗CMMB信号干扰方法研究

无线体域网广泛应用于远程医疗、保健等方面,但我国分配用于生物医疗的专用无线频段和部分广播电视频段相重叠,因而无线体域网设备将受到移动多媒体广播信号干扰。提出了将无线个域网的DS-PHY应用到无线体域网的技术方案,并对其在移动多媒体广播信号干扰背景下进行了仿真,结果表明该方案具有较好的抗干扰性能,可以为我国无线体域网的标准化工作提供重要技术参考。

无线体域网中基于时隙滑动窗口的概率路由协议

无线体域网(Wireless Body Area Network,WBAN)不仅应用于医疗保健领域,而且在特殊人群监护、运动、娱乐以及军事等领域也有着巨大的应用价值,然而WBAN技术自身的特点将严重影响数据传输的可靠性,如何设计一个可靠的路由协议成为一个具有挑战性的工作。基于时隙滑动窗口提出了一种概率路由协议,提高了数据包传递的可靠性并减少了网络延迟。在VS2012上用C#语言对该路由算法进行实现,结果证明,在概率路由协议中加入时隙滑动窗口确实能够提高网络的可靠性。

A Novel Hybrid Clustering Based Transmission Protocol for Wireless Body Area Networks

Wireless sensor networks are a collection of intelligent sensor devices that are connected to one another and have the capability to exchange information packets amongst themselves.In recent years,this field of research has become increasingly popular due to the host of useful applications it can potentially serve.A deep analysis of the concepts associated with this domain reveals that the two main problems that are to be tackled here are throughput enhancement and network security improvement.The present article takes on one of these two issues namely the throughput enhancement.For the purpose of improving network productivity,a hybrid clustering based packet propagation protocol has been proposed.The protocol makes use of not only clustering mechanisms of machine learning but also utilizes the traditional forwarding function approach to arrive at an optimum model.The result of the simulation is a novel transmission protocol which significantly enhances network productivity and increases throughput value.

Power Allocation for Energy Harvesting in Wireless Body Area Networks

Wireless Body Area Networks(WBANs) are expected to achieve high reliable communications among a large number of sensors.The outage probability can be used to measure the reliability of the WBAN.In this paper,we optimize the outage probability with the harvested energy as constraints.Firstly,the optimal transmit power of the sensor is obtained while considering a single link between an access point(AP) located on the waist and a sensor attached on the wrist over the Rayleigh fading channel.Secondly,an optimization problem is formed to minimize the outage probability.Finally,we convert the non-convex optimization problem into convex solved by the Lagrange multiplier method.Simulations show that the optimization problem is solvable.The outage probability is optimized by performing power allocation at the sensor.And our proposed algorithm achieves minimizing the outage probability when the sensor uses energy harvesting.We also demonstrate that the average outage probability is reduced with the increase of the harvested energy.

Traffic Priority-Aware Medical Data Dissemination Scheme for IoT Based WBASN Healthcare Applications

Wireless Body Area Sensor Network(WBASN)is an automated system for remote health monitoring of patients.WBASN under umbrella of Internet of Things(IoT)is comprised of small Biomedical Sensor Nodes(BSNs)that can communicate with each other without human involvement.These BSNs can be placed on human body or inside the skin of the patients to regularly monitor their vital signs.The BSNs generate critical data as it is related to patient’s health.The data traffic can be classified as Sensitive Data(SD)and Non-sensitive Data(ND)packets based on the value of vital signs.These data packets have different priority to deliver.The ND packets may tolerate some delay or packet loss whereas,the SD packets required to be delivered on time with minimized packet loss otherwise it can be life threating to the patients.In this research,we propose a Traffic Priority-aware Medical Data Dissemination(TPMD2)scheme forWBASN to deliver the data packets according to their priority based on the sensitivity of the data.The assessment of the proposed scheme is carried out in various experiments.The simulation results of the TPMD2 scheme indicate a significant improvement in packets delivery,transmission delay and energy efficiency in comparison with the existing schemes.

一种高吞吐量的WBAN多跳协议

为提高无线体域网(Wireless Body Area Network,WBAN)能量效率和实现高吞吐量,提出一种多跳拓扑结构来节约能耗,延长网络寿命。通过设定代价函数选出前驱节点,使得被选用节点具有较多的剩余能量和较小传输间距。代价函数的剩余能量参数用于平衡传感节点的能量损耗,距离参数确保包交付成功率。仿真结果表明,该协议得到稳定的高吞吐量,有助于WBAN对人体病症的连续监测。

应用于WBAN的动态自适应网络研究

基于WBAN的技术尚不成熟,提出一种新型WBAN技术方案,将HBC技术与MICS频段结合应用到WBAN中。考虑到体域网中体内节点的能耗约束性,提出了一种应用于WBAN的新型网络,即具有自适应性的基于中继的两跳星型网络;针对WBAN中节点生存周期的重要性,提出一种低能耗的MAC协议——基于TDMA的中继MAC协议。该方案的提出,能够满足WBAN对安全、能耗、可靠性等服务质量(QoS)的要求,且较好地改善了体内节点的网络生存期。

基于稀疏表示的体域网节点休眠策略

针对无线体域网(WBAN)节点电池能量有限和不易更换电源的问题,提出一种基于稀释表示分类算法的节点休眠策略(NSS-SRC)。当WBAN节点采集的人体生理信号处于正常范围时,采用稀疏表示理论对测试样本信号进行识别,根据识别结果滤除不需要传送的正常信号,将WBAN节点转换为休眠状态,并延长节点休眠时间,从而减少节点数据传输量。通过NS2软件对节点延时和能耗进行仿真分析,结果表明,在生理信号通常处于稳定范围的WBAN中,与传统TDMA,BCMAC相比,NSS-SRC策略能有效降低能耗和延时。

面向千家万户的消费电子通信与网络

本文通过高速无线个域网(WPAN),广域随遇网络(WAUN)和无线人体域网络(WBAN)的概念、原理、技术和应用,说明消费电子通信与网络的发展,由于其与民生密切相关,市场前景广阔,是值得十分关注的,文末提出了一些观点和建议.

An Energy-Efficient Mobile Agent-Based Data Aggregation Scheme for Wireless Body Area Networks

Due to the advancement in wireless technology and miniaturization,Wireless Body Area Networks(WBANs)have gained enormous popularity,having various applications,especially in the healthcare sector.WBANs are intrinsically resource-constrained;therefore,they have specific design and development requirements.One such highly desirable requirement is an energy-efficient and reliable Data Aggregation(DA)mechanism for WBANs.The efficient and reliableDAmay ultimately push the network to operate without much human intervention and further extend the network lifetime.The conventional client-serverDAparadigm becomes unsuitable and inefficient for WBANs when a large amount of data is generated in the network.Similarly,in most of the healthcare applications(patient’s critical conditions),it is highly important and required to send data as soon as possible;therefore,reliable data aggregation in WBANs is of great concern.To tackle the shortcomings of the client-serverDAparadigm,theMobile Agent-Basedmechanismproved to be a more workable solution.In aMobile Agent-Based mechanism,a taskspecific mobile agent(code)traverses to the intended sources to gather data.Thesemobile agents travel on a predefined path called itinerary;however,planning a suitable and reliable itinerary for a mobile agent is also a challenging issue inWBANs.This paper presents a new Mobile Agent-Based DA scheme for WBANs,which is energy-efficient and reliable.Firstly,in the proposed scheme,the network is divided into clusters,and cluster-heads are selected.Secondly,a mobile agent is generated from the base station to collect the required data from cluster heads.In the case,if any fault occurs in the existing itinerary,an alternate itinerary is planned in real-time without compromising the network performance.In our simulation-based validation,we have found that the proposed system delivers significantly improved fault-tolerance and reliability with energy-efficiency and extended network lifetime in WBANs.

IOT Assisted Biomedical Monitoring Sensors for Healthcare in Human

The Internet of Things(IoT)is a concept that refers to the deployment of Internet Protocol(IP)address sensors in health care systems to monitor patients’health.It has the ability to access the Internet and collect data from sensors.Automated decisions are made after evaluating the information of illness people records.Patients’health and well-being can be monitored through IoT medical devices.It is possible to trace the origins of biological,medical equipment and processes.Human reliability is a major concern in user activity and fitness trackers in day-to-day activities.The fundamental challenge is to measure the efficiency of the human system accurately.Aim to maintain tabs on the well-being of humans;this paper recommends the use of wireless body area networks(WBANs)and artificial neural networks(ANN)to create an IoT-based healthcare framework for hospital information systems(IoT-HF-HIS).Our evaluation system uses a server to estimate how much computing power is needed for modeling,and simulations of the framework have been done using data rate and latency requirements are implementing the energy-aware technology presented in this paper.The proposed framework implements several hospital information system case studies by building a time-saving simulation environment.As the world’s population ages,more and more people suffer from physical and emotional ailments.Using the recommended strategy regularly has been proven user-friendly,reliable,and cost-effective,with an overall performance of 95.2%.

无线体域网(WBAN)应用关键技术研究

详细介绍了无线体域网(WBAN)的关键技术中的路由协议和传感器技术,介绍了WBAN的组成和无线传感器网络(WSN)系统,描述了组件级功耗优化数字信号处理(DSP)核心,并简要概述了IEEE 802.15.6的物理层和介质访问控制层的标准。