无线传感器网络硬件平台解析

半导体技术、通信技术和计算机技术的进步,推动了无线传感器网络技术的产生与快速发展。而无线传感器网络的发展更得益于硬件平台技术的进步。本文从总体上介绍了传感器网络系统的硬件构成和各部分的功能。     

基于ZigBee通用无线传感器网络硬件平台的设计

本文基于Chipcon公司推出的高度整合的SoC芯片CC2430设计了一种通用无线传感器网络硬件平台。此平台基于低功耗、低成本的ZigBee技术，非常适于构建各种无线传感器网络的应用。     

无线人体传感器网络测试的硬件平台设计

这篇文章针对低功耗的无线人体传感器网络WBSN（Wireless Body Sensor Networks）的性能测试设计了一个硬件平台,所设计的硬件平台能有效的实现对WBSN各种网络行为的模拟,在这个平台上可以实现WBSN网络性能的评估。另外还讲述了在这个硬件平台上实现对网络中的节点进行行为模拟的具体方法。文中所述硬件平台的搭建过程和WBSN网络模型的实现方法对网络性能的评估具有很好的实用价值。     

基于无线传感器网络的教学实验平台设计

本文研究并开发了一种应用MSP430微控制器芯片和CC2420无线收发模块架构的无线传感器网络的教学实验平台,设计并实现了系统的总体架构、硬件电路、软件接口与数据汇聚模式,根据实践教学要求,设计了基于该平台系统的基本实验要求与操作步骤,给出了对不同层次实践教学的目标要求,最后给出教学实践效果的评价。     

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

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。     

基于无线传感器网络的海洋环境监测系统研究

无线传感器网络在海洋环境中最重要的应用是海洋环境的实时监控系统.与其他监测系统相比,海洋实时监测系统具有实时传感器节点,独立性高,精度高的特点.为了提高传感器的监测能力和稳定性,针对海洋环境管理的需求,提出并研究了基于无线传感器网络的海洋环境监测系统,并采用了将ZigBee通信与GPRS和GPRS相结合的技术方法.卫星...     

基于Wi-Fi的无线传感器网络设计与研究

无线传感器网络是集信息采集、信息传输、信息处理于一体的综合智能信息系统.由大量体积小,成本低具有无线通信、传感、数据处理能力的传感器网络节点组成.它的功耗、成本、体积、处理能力等严格受限.Wi-Fi技术是当前无线网络应用的一个热点,与ZigBee无线传感器网络比较,Wi-Fi网络则更成熟.在分析无线传感器网络体系结构的基础上,结合Wi-Fi技术介绍以GS1010为核心的无线传感器网络节点设计,并介绍嵌入式系统的设计与实现.     

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。     

浅析ZigBee无线传感器网络设计

ZigBee星形和树形网络存在数据传输途径单一,路由方式不灵活等缺点。为了解决上述问题,提出Cluster-Tree+AODVjr混合路由算法,结合了两种算法的优点,能够实现网状网络架构,可以为数据传输提供多路由方式,能够实现自组织、自愈功能,保证网络良好的进行通信。文中给出了ZigBee节点硬件和软件的设计方案,搭建了小型网状ZigBee无线传感器网络,验证了ZigBee节点组网过程及路由算法的有效性,提高了传感器网络数据传输的可靠性。     

无线传感器网络中间件和平台软件的研究

无线传感器网络具有广阔的应用前景。本文研究面向无线传感器网络的中间件和平台软件,为无线传感器网络的研究、应用与开发构建一个高效节能的、可扩展的、安全的、轻量级的开发平台,旨在促进无线传感器网络相关技术研究和应用的发展。     

基于跨层设计的无线传感器网络新体系

无线传感器网络是资源受限的网络,网络中节点较简单且差异小,在许多应用背景中对实时性要求较高。而传统的分层网络体系开销较大且灵活性不高,跨层技术的产生可以弥补这些不足。论文分别从实时性、收集信息需要这两方面提出新的基于跨层技术的网络设计方案,以满足不同应用的需求。     

无线传感器网络系统综述

介绍了无线传感器网络的概念、几种主要的无线传感器网络协议，尤其是MAC层协议的研究情况，给出了一些比较经典的无线传感器网络MAC协议的思想。     

基于备份节点无线传感器网络设计策略

在无线传感器网络中由于节点的规模大小有限,能源问题成为目前设计的重点。根据网络中节点的不同任务特征提出了一个对传感器节点进行备份的分布式算法,使得在网络中尽可能减少工作节点的参与从而降低能耗。实验结果证明了算法的可行性和正确性,同时还给出了在特定环境下为达到网络最大持续工作时间所需节点数量的范围区间。     

基于备份节点无线传感器网络设计策略

在无线传感器网络中由于节点的规模大小有限，能源问题成为目前设计的重点。根据网络中节点的不同任务特征提出了一个对传感器节点进行备份的分布式算法，使得在网络中尽可能减少工作节点的参与从而降低能耗。实验结果证明了算法的可行性和正确性，同时还给出了在特定环境下为达到网络最大持续工作时间所需节点数量的范围区间。     

Directional Controlled Fusion in Wireless Sensor Networks

Though data redundancy can be eliminated at aggregation point to reduce the amount of sensory data transmission, it introduces new challenges due to multiple flows competing for the limited bandwidth in the vicinity of the aggregation point. On the other hand, waiting for multiple flows to arrive at a centralized node for aggregation not only uses precious memory to store these flows but also increases the delays of sensory data delivery. While traditional aggregation schemes can be characterized as “multipath converging,” this paper proposes the notation of “multipath expanding” to solve the above problems by jointly considering data fusion and load balancing. We propose a novel directional-controlled fusion (DCF) scheme, consisting of two key algorithms termed as directional control and multipath fusion. By adjusting a key parameter named multipath fusion factor in DCF, the trade-offs between multipath-converging and multipath-expanding can be easily achieved, in order to satisfy specific QoS requirements from various applications. We present simulations that verify the effectiveness of the proposed scheme.

无线传感器网络动态数据管理——GUI编程及实现

无线传感器网络作为分布式网络典型代表,是计算、通信和传感器三项技术相结合的产物。是一种全新的信息获取和处理技术。文中重点讲述了利用VC和微软基础类库实现的动态数据管理图形用户界面的功能、特点、设计思想。它具有拓扑显示,波形显示及温度显示功能,允许用户在图形界面上通过可视化方式实时监测从传感器网络传来的数据。     

Lightweight Deployment-Aware Scheduling for Wireless Sensor Networks

Wireless sensor networks consist of a large number of tiny sensors that have only limited energy supply. One of the major challenges in constructing such networks is to maintain long network lifetime as well as sufficient sensing areas. To achieve this goal, a broadly-used method is to turn off redundant sensors. In this paper, the problem of estimating redundant sensing areas among neighbouring wireless sensors is analysed. We present simple methods to estimate the degree of redundancy without the knowledge of location or directional information. We also provide tight upper and lower bounds on the probability of complete redundancy and on the average partial redundancy. With random sensor deployment, our analysis shows that partial redundancy is more realistic for real applications, as complete redundancy is expensive, requiring up to 11 neighbouring sensors to provide a 90 percent chance of complete redundancy. Based on the analysis, we propose a scalable Lightweight Deployment-Aware Scheduling (LDAS) algorithm, which turns off redundant sensors without using accurate location information. Simulation study demonstrates that the LDAS algorithm can reduce network energy consumption and provide desired QoS requirement effectively. This research was partially supported by Natural Sciences and Engineering Research Council of Canada. Kui Wu received his Ph.D. in Computing Science from the University of Alberta, Canada, in 2002. He joined the Department of Computer Science at the University of Victoria, Canada in the same year and is currently an Assistant Professor there. His research interests include mobile and wireless networks, network performance evaluation, and network security. Yong Gao received his Master's degree and Ph.D. degree in computer science from University of Alberta, Canada, in 2000 and 2005 respectively. He is currently with the Irving K. Barber School of Arts and Sciences, UBC Okanagan, Canada. His research interests include search algorithms and AI, communication networks, and computational biology. Yang Xiao worked at Micro Linear as an MAC (Medium Access Control) architect involving the IEEE 802.11 standard enhancement work before he joined Department of Computer Science at The University of Memphis in 2002. Dr. Xiao is an IEEE Senior member. He was a voting member of IEEE 802.11 Working Group from 2001 to 2004. He currently serves as Editor-in-Chief for International Journal of Security and Networks (IJSN) and for International Journal of Sensor Networks (IJSNet). He serves as an associate editor or on editorial boards for the following refereed journals: (Wiley) International Journal of Communication Systems, (Wiley) Wireless Communications and Mobile Computing (WCMC), EURASIP Journal on Wireless Communications and Networking, and International Journal of Wireless and Mobile Computing. He serves as five lead/sole guest editor for five journal special issues. He serves as a referee/reviewer for many funding agencies, as well as a panelist for NSF. His research interests are Security/ Reliable Communications, Medium Access Control, Mobility/Location/Paging Managements, Cache Access and Replacement Policies, Quality of Service, Energy Efficiency, and Routing in wireless networks and mobile computing.