一种混合多址接入的无线传感器网络设计及实现

针对实际应用中无线传感器网络多区域分布、任务多元化的特点,为解决簇间通信的相互干扰,提出一种改进的FDMA/TDMA混合机制的无线传感器网络。簇间采用FDMA避免干扰,簇内节点采用TDMA实现睡眠调度。此外,在TDMA机制中分配监测时隙,如有突发情况,簇内节点可通过CSMA竞争与簇头节点实现通信,以此增加上报的公平性。对网络系统进行了工程实现验证,测试证明达到预期效果。     

一种节能无线传感器网络

针对无线传感器网络节点能量受限制问题,提出一种节能网络,把监测环境中通电电缆的磁能转化为电能,实现节点能量的自给。采集的能量采用双边调谐阻抗网络传输,通过设计原副边回路参数,令其回路发生谐振来降低自身损耗;组网模式上,用节能静态网络模型代替能耗大的动态组网方式,结合需要,通过切换节点的工作方式来降低能耗。实验证明,能量采集模块一个工作周期采集的能量为10.93 mJ,能够满足传感网络节点工作周期的最大能耗4.68 mJ,验证了节能传感网络可以实现能量自給。     

一种新型无线传感器网络

毫米波技术和无线传感器网络是目前各国研究的热点。随着毫米波器件的发展，使得其应用于无线传感器网络成为可能。从国内外公开发表的文献资料来看，这项应用虽然不甚成熟，但是其发展潜力巨大，有很多复杂问题有待研究解决。简要阐述了毫米波通信技术在无线传感器网络，特别是军用无线传感器网络中应用所具有的优势，对需要进一步解决的问题进行了研究分析。     

一种时分接入高速可靠无线传感器网络协议

针对无线传感器网络数据采集系统中的提升数据吞吐能力、传输可靠性,文章提出了一种基于数据包协调的时分媒体接入协议,vaTDMA。通过节点间小体积数据包交互,分配节点信道接入时机。规避传统TDMA中传输时隙的必要冗余,并将其集中于采样周期的尾端,增加了数据包传输机会;通过重传算法提高传输可靠性。实验结果表明,文章提出的无线传感器网络通讯协议的有效性。     

一种基于Zigbee的无线传感器网络教学实验系统

本文首先简要介绍无线传感器网络的体系结构,然后给出一个基于IEEE802．15．4和Zigbee协议的无线传感器网络教学实验系统。该系统中的多个传感器节点可以组成多种不同的拓扑结构,并可以将采集到的数据通过GSM网络发送到用户终端,用户也可以通过GSM网络对远程传感器节点进行控制。该教学实验系统已被许多院校采用,亦可直接应用于其他领域。     

一种无线传感器网络的多Agent系统模型

针对无线传感器网络缺乏普遍的理论模型,提出一种多Agent系统模型,包括形式化语言、模型、语义以及相应的公理和模型约束.该模型将无线传感器网络抽象为由具有特定信念、期望、意图和能力等认知成分的Agent组成的认知系统,所有这些认知成分构成多Agent系统认知模型.本文将为独立于内部结构和具体实现来理解、分析和预测无线传感器网络行为提供形式化的理论基础和分析工具.     

一种基于无线传感器网络的火险信息采集系统

提出了把无线传感器应用于火险信息检测防治的思路,研究设计了基于无线传感器网络的火险信息采集系统。节点设计基于MSP430单片机和CC2420 ZigBee射频IC。采用ARM7系列S3C44BOX、GPRS模块SIM100的网关设计,搭建了平面型无线信息传输网络拓扑结构,仿真结果表明,网络伸缩性好,当发生火灾导致某些传感器节点被烧毁时,网络的其他部分还能持续正常工作,具有自组织重新恢复网络的功能。该系统能够实时地显示出各节点的温度、湿度和风速参数,实现楼宇范围火险信息的实时采集。     

一种移动多Sink无线传感器网络监测系统

军事防御、灾害监测与救援等危险/恶劣环境监测是无线传感器网络的典型应用。在此面向危险/恶劣环境监测需求,设计并构建移动多Sink无线传感器网络监测系统,实现环境信息感知、便携式移动指挥、事件定位、移动用户生理监护、多模态（语音、图像、文字等）交互等功能。实验测试结果表明,当网络中存在2个移动Sink节点时,网络平均延时小于100 ms,网络丢包率小于6%,可满足网络实时性要求不高的应用。     

一种无线传感器网络节点的开发

本文介绍了一种无线传感器网络节点的设计,详细讨论了传感器节点的硬件组成,电源特征和通信模式,并给出振动传感器的实验结果。由此节点组成的系统稳定性好,通信效率高。可用于环境状况及建筑物健康状况的远程监测。     

一种针对无线传感器网络的MAC协议:S-MAC

无线传感器网络是最新产生的一种面向特定应用的网络系统,它产生的得益于无线通信技术和电路集成技术的发展.利用大量的低成本,体积,功能的传感器对环境进行监控,改变了传统的监控方式,具有很广泛的应用前景.文中着重介绍了一种针对无线传感器网络的MAC协议:S-MAC.     

引入移动节点的无线传感器网络

文章围绕引入移动节点可以节省无线传感器网络的能量消耗这一主题,对引入了移动节点的无线传感器网络的数据收集方式进行了一个全面合理的分类,并且结合相关文献对每类数据收集方式展开深入讨论,系统全面地论述了该主题的研究现状、存在的问题以及面临的挑战。     

TTDD: Two-Tier Data Dissemination in Large-Scale Wireless Sensor Networks

Sink mobility brings new challenges to data dissemination in large sensor networks. It suggests that information about each mobile sinks location be continuously propagated throughout the sensor field in order to keep all sensors informed of the direction of forwarding future data reports. Unfortunately, frequent location updates from multiple sinks can lead to both excessive drain of sensors limited battery supply and increased collisions in wireless transmissions. In this paper, we describe TTDD, a Two-Tier Data Dissemination approach that provides scalable and efficient data delivery to multiple, mobile sinks. Each data source in TTDD proactively constructs a grid structure, which enables mobile sinks to continuously receive data on the move by flooding queries within a local cell only. TTDDs design exploits the fact that sensors are stationary and location-aware to construct and maintain the grid infrastructure with low overhead. We evaluate TTDD through both analysis and extensive simulations. Our results show that TTDD handles sink mobility effectively with performance comparable with that of stationary sinks.     

Efficient Approach for Maximizing Lifespan in Wireless Sensor Networks by Using Mobile Sinks

Recently, sink mobility has been shown to be highly beneficial in improving network lifetime in wireless sensor networks (WSNs). Numerous studies have exploited mobile sinks (MSs) to collect sensed data in order to improve energy efficiency and reduce WSN operational costs. However, there have been few studies on the effectiveness of MS operation on WSN closed operating cycles. Therefore, it is important to investigate how data is collected and how to plan the trajectory of the MS in order to gather data in time, reduce energy consumption, and improve WSN network lifetime. In this study, we combine two methods, the cluster‐head election algorithm and the MS trajectory optimization algorithm, to propose the optimal MS movement strategy. This study aims to provide a closed operating cycle for WSNs, by which the energy consumption and running time of a WSN is minimized during the cluster election and data gathering periods. Furthermore, our flexible MS movement scenarios achieve both a long network lifetime and an optimal MS schedule. The simulation results demonstrate that our proposed algorithm achieves better performance than other well‐known algorithms.     

无线传感网中轻型简单网络管理协议(英文)

A Light-Weight Simple Network Management Protocol (LW-SNMP) for the wireless sensor network is proposed, which is a kind of hierarchical network management system including a sink manager, cluster proxies, and node agents. Considering the resource limitations on the sensor nodes, we design new management messages, new data types and new management information base completely. The management messages between the cluster proxy and node agents are delivered as normal data packets. The experiment results show t...     

移动无线传感器网络中MAC性能分析及改进

以往无线传感器网络中的媒体接入控制协议主要针对静止网络。当存在移动节点时。协议性能会大幅度降低。对存在移动节点的无线传感器网络中的媒体接入控制协议进行了性能分析，提出了改进算法。仿真结果验证了算法的有效性。最后给出了一种适合移动节点较多的场景的无线传感器网络媒体接入控制协议。     

无线传感器网络硬件平台的研究与设计

无线传感器网络因其巨大的应用前景而受到学术界和工业界越来越广泛的重视。简要介绍了无线传感器网络的体系结构,着重从硬件平台设计的原则出发,对硬件平台进行了研究和分析,最后提出对硬件平台设计的构想。     

对大规模传感器网络应用面临问题的思考

资源受限和环境干扰使得无线传感器网络大规模应用面临诸多问题,包括流量不均衡、功能与需求失衡、理论与实际失衡等。文章在分析这些问题的基础上,结合当前技术的发展和应用需求,从传感器网络应用架构、体系结构、稀疏网络部署下的数据传输及大规模传感器网络的仿真、测试技术等方面,给出了对大规模传感器应用的一些思考。     

用于无线传感网络的高能效移动数据收集方案

Energy conservation in Wireless Sensor Networks (WSNs) has always been a crucial issue and has received increased attention in the recent years. A transmission scheme for energy-constrained WSNs is proposed in this paper. The scheme, called MIHOP (MIMO and Multi-hop), combines cluster-based virtual MIMO and multi-hop technologies. The multi- hop mode is employed in transmitting data when the related sensors are located within a specific number of hops from the sink, and the virtual MIMO mode is used in transmitting data from the remaining sensor nodes. We compare the energy consumption of different transmission schemes and propose an algorithm for determining the optimal hop count in MIHOP. A controllable mobile sink that reduces the energy consumed in sensor transmission is also adopted for data collection. The theoretical analysis and the Monte Carlo simulation demonstrate that the proposed scheme significantly outperforms individual virtual MIMO, multi-hop technologies, and double-string networks in terms of energy conservation. The energy consumption levels under the MIHOP scheme are approximately 12.98%, 47.55% and 48.30% less than that under virtual MIMO schemes, multi-hop networks and double- string networks, respectively.     

无线传感器网络中保障生命期和有效延时的数据融合调度方法

In scenarios of real-time data collection of long-term deployed Wireless Sensor Networks (WSNs), low-latency data collection with long network lifetime becomes a key issue. In this paper, we present a data aggregation scheduling with guaranteed lifetime and efficient latency in WSNs. We first construct a Guaranteed Lifetime Minimum Radius Data Aggregation Tree (GLMRDAT) which is conducive to reduce scheduling latency while providing a guaranteed network lifetime, and then design a Greedy Scheduling algorithM (GSM) based on finding the maximum independent set in conflict graph to schedule the transmission of nodes in the aggregation tree. Finally, simulations show that our proposed approach not only outperforms the state-of-the-art solutions in terms of schedule latency, but also provides longer and guaranteed network lifetime.     

无线传感器网络跨层优化研究

无线传感器网络系统的跨层优化理论在当前是一个研究热点.在传统的无线网络设计中,一般是沿用有线网络的设计思想,特别是利用因特网的设计思想来设计无线网络.然而由于无线传感器具有网络资源和能量受限的特点,这就使得传统的有线网络中分层设计的思想遇到了未曾预计的尴尬与挑战.本文对无线传感器网络中的跨层优化工作原理进行了叙述,比较了各个跨层优化技术的特点.最后阐述了当前跨层设计技术面临的挑战.