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1.
通过构建、求解MAC层、物理层、网络层跨层优化模型的方式,对超宽带无线传感器网络数据传输问题进行了初步研究.仿真实验结果表明,以构建、求解优化模型的方式解决无线传感器网络跨层设计问题是切实可行的,物理层信号功率控制、网络层路由对网络整体性能有着至关重要的影响.为超宽带无线传感器网络实际应用提供了必要的理论及实验依据,同时也为解决大规模超宽带传感器网络数据传输问题提供了解决思路.  相似文献   

2.
提出了适用于无线视频传感器网络的基于能量感知的跨层交互多路径协作路由技术.该技术首先采用了基于视频传感器节点感知距离的遗传优化算法,预测传输视频数据的能耗和剩余能量,结合无线信道质量和视频编码算法建立一种跨层协同的工作体系,优化节点传输视频数据的能耗、时延和带宽等因素;然后建立应用层、网络层和物理层跨层协同工作体系.仿真实验和数学分析表明,该技术不仅能够较好地满足视频传感器网络应用业务的多样性QoS数据传输性能需求,而且可以充分利用视频传感器网络受限的计算、存储能力和能量等资源.  相似文献   

3.
无线传感器网络的功率控制   总被引:1,自引:0,他引:1  
张大踪  杨涛  魏东梅 《传感器世界》2007,13(1):34-37,41
功率控制是在通信的过程中对发射机发射信号的功率大小进行实时监督和调整,使它满足一定网络连通性要求的技术.无线传感器网络是一种能量受限型网络,功率控制技术正是降低其能量消耗的一种重要手段.无线传感器网络的功率控制是一个跨层设计的问题,目前的研究主要集中在网络层和数据链路层.功率控制会对网络的能量消耗、网络的连接度以及信道容量等产生决定性的影响.  相似文献   

4.
在简要介绍无线传感器网络研究现状的基础上,本文重点展开了对无线传感器网络容错特征、需求与解决方法的论述;从整体的角度对无线传感器网络物理层、链路层、网络层、传输层、应用层等不同抽象级别的容错问题进行了归纳;同时,对各种容错技术的细节进行了深入的剖析,并综述了相关研究的当前进展;总结了各种容错技术的关键,为进一步研究提供了新思路。  相似文献   

5.
水下无线传感器网络的研究进展   总被引:10,自引:0,他引:10  
随着世界各国对海洋权益的日益重视、发展海洋经济热潮的兴起和陆地无线传感器网络研究的迅速发展,水下无线传感器网络的研究已经成为新的研究热点.首先对水下传感器网络通信技术、传感器网络节点、网络体系结构和水下声学传播特征作了介绍;进而重点对物理层、数据链路层、网络层、传输层、跨层设计、网络信息处理技术、水下定位和仿真平台8个方面的研究进展作了系统的综述;最后介绍了国内外主要研究机构的情况,并讨论了水下无线传感器网络研究存在的一些问题和需要进一步研究的方向.  相似文献   

6.
为了解决无线传感器网络中节点能源的有限性问题,提出~种跨层的功率控制策略,对基于网络层和基于MAC层的单层功率控制协议进行改进融合。经过仿真实验证明,此方法极大的提高了无线传感器网络的整体性能,有效延长了网络寿命。  相似文献   

7.
无线传感器网络的拥塞控制技术是这一研究领域的热点,WSN不仅自身容易发生故障,而且还受到外界环境的影响,这对拥塞控制提出了新的挑战。从网络各层协议的角度介绍了链路层、网络层、传输层的拥塞控制协议,并对它们的优缺点进行了总结与比较,提出了进一步研究的方向。  相似文献   

8.
基于WSN的随机网络编码跨层研究   总被引:2,自引:2,他引:0  
钦健  杨白薇  李鸥 《计算机工程》2010,36(3):112-114
基于无线传感器网络,提出一种跨层实现随机网络编码的方案,并在NS2平台上进行仿真。将网络编码方案与传统的几种传感器路由机制进行对比,分析编码与解码功能,将该方案应用于无线传感器网络中,对影响解码率的几个主要因素,如缓存队列长度、Sink节点的位置等进行了评估。  相似文献   

9.
跨层设计是提高无线传感器网络整体性能的一种有效方法。在综合考虑MAC层调度、物理层功率控制、网络层路由三方面因素的基础上,结合超宽带技术大带宽、低信号功率的特点,以实现网络最大数据传输速率为目标,构建了基于超宽带技术的无线传感器网络跨层优化模型。仿真实验表明:模型最优解可有效提高网络数据传输速率;物理层功率控制对优化结果有着至关重要的影响。这证明以构建、求解优化模型的方式解决跨层设计问题是切实可行的,同时也为解决大规模超宽带传感器网络数据传输问题提供了一条新的解决思路。  相似文献   

10.
在互联网领域,网络优化是确保网络质量,提升网络资源利用率的有效手段。一般而言,利用大数据技术进行网络优化的过程可分为三个阶段:数据来源和获取、数据存储、数据分析。跨层设计是提升整个无线传感器网络性能的一种有效方法。在三个因素综合考虑,如MAC层诡计多端的,物理的功率控制、网络层路由,超宽带技术和低的信号功率和实现网络的最大数据传输速率的目的相结合,构建无线传感器网络跨层优化模型基于UWB技术。  相似文献   

11.
网络的容错能力是传感器网络研究中的关键问题,影响它的主要因素是网络节点的通讯半径。基于聚类法网络协议和文献[1]中的定理,得出了2个推论。在类选举之后,可以用这2个推论来计算网络节点的类内通讯半径RC和类间通讯半径RT。当传感器网络工作在恶劣环境中时,这种方法有很好的实用价值。  相似文献   

12.
Fault diagnosis of sensor timely and accurately is very important to improve the reliable operation of systems. In the study, fault diagnosis of sensor by chaos particle swarm optimization algorithm and support vector machine is presented in the paper, where chaos particle swarm optimization is chosen to determine the parameters of SVM. Chaos particle swarm optimization is a kind of improved particle swarm optimization, which can not only avoid the search being trapped in local optimum and but also help to search the optimum quickly by using chaos queues. The wireless sensor is employed as research object, and its four fault types including shock, biasing, short circuit and shifting are applied to test the diagnostic ability of CPSO-SVM compared with other diagnostic methods. The diagnostic results show that CPSO-SVM has higher diagnostic accuracy of wireless sensor than PSO-SVM and BP neural network.  相似文献   

13.
针对无线传感器网络可能遭受的攻击,根据OSI参考模型,分别对无线传感器网络的攻击进行了分层研究并总结攻击模式,为确保网络正常运行和使网络性能损失最小化提供一定的参考与帮助.  相似文献   

14.
A Survey of Fault Management in Wireless Sensor Networks   总被引:4,自引:0,他引:4  
Wireless sensor networks are resource-constrained self-organizing systems that are often deployed in inaccessible and inhospitable environments in order to collect data about some outside world phenomenon. For most sensor network applications, point-to-point reliability is not the main objective; instead, reliable event-of-interest delivery to the server needs to be guaranteed (possibly with a certain probability). The nature of communication in sensor networks is unpredictable and failure-prone, even more so than in regular wireless ad hoc networks. Therefore, it is essential to provide fault tolerant techniques for distributed sensor applications. Many recent studies in this area take drastically different approaches to addressing the fault tolerance issue in routing, transport and/or application layers. In this paper, we summarize and compare existing fault tolerant techniques to support sensor applications. We also discuss several interesting open research directions. Lilia Paradis is currently a graduate student in the Department of Mathematical and Computer Sciences, Colorado School of Mines. She is also part of the Toilers Ad Hoc Networking research group. She is interested in distributed communication protocols for wireless sensor networks. Qi Han received the PhD degree in computer science from the University of California, Irvine in 2005. She is currently an assistant professor in the Department of Mathematical and Computer Sciences, Colorado School of Mines. Her research interests include distributed systems, middleware, mobile and pervasive computing, systems support for sensor applications, and dynamic data management. She is specifically interested in developing adaptive middleware techniques for next generation distributed systems. She is a member of the IEEE and the ACM.  相似文献   

15.
在传感器网络中,分布式故障检测算法(DFD算法)通过与所有邻居节点的传感器数据的比较判断,实现节点传感器的故障检测。但是,在故障节点聚集的网络区域,故障节点比例的上升将导致该区域的故障检测精度显著下降。针对多传感器网络,本文利用多传感器在相同区域的故障分布差异及传感器之间关联特性对DFD故障检测算法进行改进,提出适用于多传感器网络的MDFD算法,提高了故障聚集区域的检测精度。性能分析和仿真结果表明:在节点故障率高的网络中,与DFD和IDFD算法相比,MDFD提高了故障检测精度,算法适用于节点分布稀疏和传感器故障率较高的网络。  相似文献   

16.
通过对现有多种无线传感器网络(WSNs)跨层协议的分析和研究,提出一种新型的跨层参数参考模型。该模型给出WSNs中网络层、数据链路层以及物理层等各层次之间相互影响的参数。在此基础上,分析该模型中网络各层次参数之间对网络性能的影响。最后通过对多个参数进行仿真实验,得出各参数对网络性能的影响情况,并作出理论分析,从而验证该模型的有效性。  相似文献   

17.
Editorial     
Wireless sensor network(WSN)is characterized by the dense deployment of sensor nodes that continuously observe physical phenomenon.The main advantages of WSN include its low cost,rapid deployment,self-organization,and fault tolerance.WSN has received tremendous interests of various research communities,and significant progresses have been made in various aspects including sensor platform development,wireless communication and networking,signal and information processing,as well as network performance eva...  相似文献   

18.
It is a well-established fact that wireless sensor networks (WSNs) are very power constraint networks, but besides this, they are inherently more fault-prone than any other type of wireless network and their protocol design is very application specific. Major reasons for the faults are the unpredictable wireless communication channel, battery depletion, as well as fragility and mobility of the nodes. Furthermore, as traditional protocol design methods have proved inadequate, the cross-layer design (CLD) approach, which allows for interactions between different layers, providing more flexible and energy-efficient functionality, has emerged as a viable solution for WSNs. In this study we define a fault tolerance management module suitable to the requirements, limitations, and specifics of WSNs, encompassing methods for fault detection, fault prevention, fault management, and recovery. The suggested solution is in line with the CLD approach, which is an important factor in increasing the network performance. Through simulations the functionality of the network is evaluated, based on packet loss, delay, and energy consumption, and is compared with a similar solution not including fault management. The results achieved support the idea that the introduction of a unified approach to fault management improves the network performance as a whole.  相似文献   

19.
Fault tolerance and scalability are important considerations in the design of sensor network applications. Data aggregation is an essential operation in sensor networks. Multiple techniques have been proposed recently to tackle the issues of scalability and fault tolerance of aggregation in sensor networks. In this article, we analyze the impact of using a few of the more reliable, though expensive, nodes–such as the Intel XScale–called microservers, in addition to the standard motes, on the fault tolerance and scalability of the aggregation algorithms in sensor networks. In particular, we propose a simple model that captures the essence of tree aggregation in such heterogeneous sensor networks. We validate this theoretical model with simulation results. We also study the effective impact on the sustainable probability of failure, and perform cost-benefit analysis. We also show how hybrid aggregation can be utilized instead of tree, to improve the performance of aggregation in heterogeneous sensor networks. We show that our work can be applied for effectively optimizing the use of expensive hardware while designing fault-tolerant, distributed sensor networks.  相似文献   

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