无线传感器网络研究概述

集中传感器、计算机以及通信技术的无线传感器网络技术由于其良好的性能以及广阔的运用空间,得到了广大学者的关注和研究。基于此介绍了无线传感器网络的基本概念、属性,讨论了无线传感器网络的关键技术,并就使用领域进行了阐述。     

无线传感器网络节能技术的研究

介绍了WSN的节能技术及对节点调度机制进行分析。对各种节能方案进行了分析,提出无线传感网络节能应重点关注无线节点睡眠调度。     

无线传感器网络

无线传感器网络具有广泛的应用前景．将引起人们越来越多的关注。本文介绍了无线传感器网络的基本组成．网络的特点．并分析了当前无线传感器网络的研究应用现状及一些研究成果。     

用无线传感器组成无线传感器网络

物联网的愿景之一是能够测量以前从未测量过的变量。无论应用是监视基础设施老化(例如桥梁、隧道或电力传输线的老化),还是实时提供停车及交通信息,都需要无线传感器网络(WSN)提供与有线网络类似的性能,而且适合实际部署。传感器网络要能够扩展至包含大量无线节点,而且在很多情况下,需要跨越很长的距离。     

无线传感器网络上数据聚集及调度研究综述

无线传感器网络是近年来倍受关注的热点研究领域,综合了无线通信技术、微电子技术、嵌入式技术、传感器技术等,具有广阔的应用前景。数据聚集是无线传感器网络上一项基础而重要的操作,被研究者们所广泛关注,也涌现出了很多研究工作。总结了近年来无线传感器网络上的数据聚集以及数据聚集调度方向的研究工作,讨论了现有工作的内容和需要进一步研究的方向,并提供了广泛的参考文献。     

无线传感器网络中抗WIFI干扰的研究

网络技术的飞速发展,室内外已经基本全覆盖了Wi Fi信号,在无线传感器网络技术发展的促进下,物联网技术在人们的生活中得到了广泛应用。由于无线传感器网络中采用的通信协议主要为Zig Bee协议,它与Wi Fi信号会产生同频干扰,故Zig Bee网络抗Wi Fi信号干扰是急需解决的问题。文章主要围绕基于Zig Bee协议的无线传感器网络抗Wi Fi信号进行研究,并提出了一种节点分布式自主学习的多信道分配算法。     

TinyOS无线传感器网络操作系统分析

TinyOS是UC Berkeley（加州大学伯克利分校）开发的开放源代码操作系统,是专为嵌入式无线传感器网络（WSN：wireless sensor network）设计的操作系统。文中介绍了TinyOS无线传感器网络操作系统的主要特点,详细分析了TinyOS无线传感器网络操作系统的工作机制。     

无线传感器网络密钥管理

无线传感器网络密钥管理极具挑战性,不仅因为传感器节点拥有的资源有限,不宜采用非对称密码技术,同时也因为传感器节点暴露在恶劣甚至敌对环境中,易于被敌手俘获。虽然目前提出许多密钥分配协议,但没有一个协议能在扩展性、共享密钥概率、存储代价和抵御节点俘获攻击等方面同时具有良好性能。密钥管理协议采用的技术必须与具体网络需求和传感器节点拥有的资源一致。分析和评估了典型的密钥管理方案和协议,并指出了该方向存在的开放问题及今后的发展趋势。     

无线传感器网络

无线传感器网络(WSN)被认为是21世纪最重要的技术之一,它将会对人类未来的生活方式产生深远影响。本文介绍了传感器网络的概念和特点,探讨了传感器网络与现有的无线通信网络相结合的业务。     

无线磁场传感器网络

无线磁场传感器网络是一种多学科多技术结合的产物,其可以对进入网络的目标进行实时检测。本文采用巨磁阻抗传感器为网络节点组建无线磁场传感器网络,对移动目标进行了测量,并对结果进行了分析。     

无线传感器MAC层协议的分析和研究

无线传感器网络(Wireless Sensor Network,WSN)一般由部署在监测区域内大量廉价微型传感器节点组成,通过无线通信方式形成一个多跳(mutli hop)的自组织(self organizing)网络系统。MAC层协议设计是无线传感器网络设计中的一个重要研究方面,通过对当前众多MAC协议的研究,提出了一种无线传感器网络MAC层协议的分类方法,通过分析比较典型的MAC层协议,给出了MAC层协议设计的评价标准。     

一种基于WSN的能源有效的被动聚类模式

在分析无线传感器网络（WSN）的能量消耗模型的基础上，提出了一种新的层次型、分布式的能源有效的被动聚类模式EEPCS。采用“智能延迟策略”和“智能启发式选择”产生类首和网关结点，改变了传统被动聚类模式中通信结点能源消耗过快、网络不连通等缺点。理论分析和实验结果表明，EEPCS不仅能够节省通信结点的能量消耗，而且使能量在节点间均衡消耗，延长了网络的生存周期。     

基于UWB的无线传感器网络组网运用

超宽带技术和无线传感器网络技术都是近年来新兴的近距离无线通信技术,介绍了超宽带技术和无线传感器网络技术的特点,提出了超宽带技术在无线传感器网络中的应用模型,为二者的应用融合奠定了实践基础。     

基于无线传感网络的野外古迹监控系统

为了更有效地保护野外文物古迹,设计了一种基于无线传感网络的野外古迹监控系统。系统以ZigBee网络为核心,传感节点单元(SNU)采用地震检波器HK20DX-10S监测古迹区域振动数据;中继节点单元(RNU)采用CC2530芯片负责数据收发并通过GPRS传输给远程监控中心;监控中心对数据分析处理,实现对监测区域内挖掘、爆破活动的实时监控和报警。测试结果表明,该系统具有成本低、响应快、可靠性高的特点,适用于野外遗址、博物馆等场所。     

无线传感器网络WSN探究

集传感器技术、无线传输技术、网络通信技术、分布式信息处理技术与编程技术于一体而形成的无线传感器网络（WSN）,是一种全新的信息获取和处理系统,具有十分广阔的应用前景。介绍了无线传感器网络WSN的发展历程和现状,论述了无线传感器网络WSN系统的构成,阐述了WSN系统的主要技术指标和设计特点。同时,结合实际应用,对无线传感器网络系统的架构、网络通信模型结构以及当前的主要应用领域作了深入地探讨和研究,最后指出了当前WSN关键技术亟需解决的问题。     

基于Stackelberg博弈的虚拟化无线传感网络资源分配策略

虚拟化技术可有效缓解当前无线传感网络(WSN)中资源利用率较低、服务不灵活的问题。针对虚拟化WSN中的资源竞争问题,该文提出一种基于Stackelberg博弈的多任务资源分配策略。依据所承载业务的不同服务质量(QoS)需求,量化多个虚拟传感网络请求(VSNRs)的重要程度,进而,利用分布式迭代方法,获取WSN的最优价格策略和VSNRs的最优资源需求量,最后,根据纳什均衡所确定的最优价格、最优资源分配量,对多个VSNRs分配资源。仿真结果表明,所提策略不仅能满足用户的多样化需求,而且提升了节点和链路资源利用率。

     

井下人员无线定位关键技术研究

针对现有井下人员定位系统亟待解决的功耗、漏检率和定位精度等技术问题,从探讨基于ZigBee通信技术的无线传感器网络体系架构出发,对人员无线定位系统中的传感器终端设计、定位机制及无线网拓扑等关键技术进行了较为深入的研究,给出了传感器节点设计、定位算法以及无线组网等工程实现过程,及各单元模块所采用的技术优化或改进策略,改善了现有系统的综合性能.     

融合无线传感网络的长距离射频识别系统

探讨了无线传感网络与射频识别技术融合的意义,研究了有实际应用价值的融合方案,即由融合方案中的＂智能节点＂完成信息采集、识别及传输,充分发挥了射频识别技术的信息标识功能和无线传感网络自组网的成本低、传输距离远等优点,以此来扩展传统射频识别系统的覆盖范围和传输距离。研究结果表明,射频识别系统与无线传感器网络具有一定的互补性...     

A Sensor Anonymity Enhancement Scheme Based on Pseudonym for Clustered Wireless Sensor Network

Security problem is an important issue for Wireless Sensor Network. The paper focuses on the privacy protection of WSN applications. An anonymity enhancement tactic based on pseudonym mechanism is presented for clustered Wireless Sensor Network, which provides anonymity for both the sensors within a cluster and the cluster head nodes. Simulation experiments are launched through NS2 platform to validate the anonymity performance. The theoretical analysis and empirical study imply that the proposed scheme based on pseudonym can protect the privacies of both the sensor nodes and the cluster head nodes. The work is valuable and the experimental results are convincible.     

MANTIS OS: An Embedded Multithreaded Operating System for Wireless Micro Sensor Platforms

The MANTIS MultimodAl system for NeTworks of In-situ wireless Sensors provides a new multithreaded cross-platform embedded operating system for wireless sensor networks. As sensor networks accommodate increasingly complex tasks such as compression/aggregation and signal processing, preemptive multithreading in the MANTIS sensor OS (MOS) enables micro sensor nodes to natively interleave complex tasks with time-sensitive tasks, thereby mitigating the bounded buffer producer-consumer problem. To achieve memory efficiency, MOS is implemented in a lightweight RAM footprint that fits in less than 500 bytes of memory, including kernel, scheduler, and network stack. To achieve energy efficiency, the MOS power-efficient scheduler sleeps the microcontroller after all active threads have called the MOS sleep() function, reducing current consumption to the μA range. A key MOS design feature is flexibility in the form of cross-platform support and testing across PCs, PDAs, and different micro sensor platforms. Another key MOS design feature is support for remote management of in-situ sensors via dynamic reprogramming and remote login. Shah Bhatti is a Ph.D. student in Computer Science at the University of Colorado at Boulder. He also works as a Senior Program Manager in the R&D Lab for Imaging and Printing Group (IPG) at Hewlett Packard in Boise, Idaho. He has participated as a panelist in workshops on Integrated Architecture for Manufacturing and Component-Based Software Engineering, at IJCAI ‘89 and ICSE ‘98, respectively. Hewlett Packard has filed several patents on his behalf. He received an MSCS and an MBA from the University of Colorado, an MSCE from NTU and a BSCS from Wichita State University. His research interests include power management, operating system design and efficient models for wireless sensor networks. James Carlson is a Ph.D. student in Computer Science at the University of Colorado at Boulder. He received his Bachelor’s degree from Hampshire College in 1997. His research is supported by the BP Visualization Center at CU-Boulder. His research interests include computer graphics, 3D visualization, and sensor-enabled computer-human user interfaces. Hui Dai is a Ph.D. student in Computer Science at the University of Colorado at Boulder. He received his B.E. from the University of Science and Technology, China in 2000, and received has M.S. in Computer Science from the University of Colorado at Boulder in 2002. He has been co-leading the development of the MANTIS OS. His research interests include system design for wireless sensor networks, time synchronization, distributed systems and mobile computing. Jing Deng is a Ph.D. student in Computer Science at the University of Colorado at Boulder. He received his B.E. from Univeristy of Electronic Science and Technology of China in 1993, and his M.E from Institute of Computing Technology, Chinese Academy of Science in 1996. He has published four papers on security wireless sensor networks and is preparing a book chapter on security, privacy, and fault tolerance in sensor networks. His research interests include wireless security, secure network routing, and security for sensor networks. Jeff Rose is an M.S. student in Computer Science at the University of Colorado at Boulder. He received his B.S. in Computer Science from the University of Colorado at Boulder in 2003. He has been co-leading the development of the MANTIS operating system. His research interests include data-driven routing in sensor networks. Anmol Sheth is a Ph.D. student in Computer Science at the University of Colorado at Boulder. He received his B.S. in Computer Science from the University of Pune, India in 2001. His research interests include MAC layer protocol design, energy-efficient wireless communication, and adapting communications to mobility. Brian Shucker is a Ph.D. student in Computer Science at the University of Colorado at Boulder. He received his B.S. in Computer Science from the University of Arizona in 2001, and his M.S. in Computer Science from the University of Colorado at Boulder in December 2003. He has been co-leading the development of the MANTIS operating system. His research interests in wireless sensor networks include operating systems design, communication networking, and robotic sensor networks. Charles Gruenwald is an undergraduate student in Computer Science at the University of Colorado at Boulder. He joined the MANTIS research group in Fall 2003 as an undergraduate researcher. Adam Torgerson is an undergraduate student in Computer Science at the University of Colorado at Boulder. He joined the MANTIS research group in Fall 2003 as an undergraduate researcher. Richard Han joined the Department of Computer Science at the University of Colorado at Boulder in August 2001 as an Assistant Professor, Prof. Han leads the MANTIS wireless sensor networking research project, http://mantis.cs.colorado.edu. He has served on numerous technical program committees for conferences and workshops in the field of wireless sensor networks. He received a National Science Foundation CAREER Award in 2002 and IBM Faculty Awards in 2002 and 2003. He was a Research Staff Member at IBM’s Thomas J. Watson Research Center in Hawthorne, New York from 1997-2001. He received his Ph.D. in Electrical Engineering from the University of California at Berkeley in 1997, and his B.S. in Electrical Engineering with distinction from Stanford University in 1989. His research interests include systems design for sensor networks, secure wireless sensor networks, wireless networking, and sensor-enabled user interfaces.This revised version was published online in August 2005 with a corrected cover date.