基于煤矿监测的低功耗无线传感器节点的研究与设计

无线传感器网络是通过无线通信方式形成的一个多跳自组织网络.传感器节点是无线传感器网络的基本单元,节点设计的好坏直接影响到整个网络的质量.为满足无线传感器网络可靠性和持久性的要求,尽可能地降低传感器节点的功耗成为设计的核心要素.通过对节点功耗的分析研究,选择以MSP430 F149作为处理器的传感器,满足了低功耗设计要求,可以实现无线传感器在煤矿监测以及复杂地理环境下的应用.     

基于OMAPLl38芯片的无线传感器网络节点设计

随着传感器技术、无线网络技术的迅速发展,无线传感器网络在军事和商业领域有着广泛的应用前景。无线传感器网络中的节点具有感知和路由的功能,是构成无线传感器网络的基本单元。针对传感器节点的特点,基于双核架构OMAPLl38为核心设计了一种低功耗高性能无线传感器节点。在介绍OMAPLl38的基础上,详细阐述了传感器节点设计及实现过程,包括硬件体系结构和软件开发流程,提出一种无线传感器网络节点设计方案。该方案可广泛应用于其他区域的无线传感器网络构建。     

对无线传感网络技术挑战分析及应用研究

无线传感器有三个阶段,分别是无线智能传感器、智能传感器与无线传感器网络。无线传感器网络其实就是把网络技术应用到无线智能传感器中,这样就可以使得传感器不再是单个难的感知单元,而是能够协调控制和交换信息的有机结合体,与实物相联,将感知触角应用到每个地方,这将是下代网络发展的组成部分。     

无线传感器网络关键节能技术及节能策略研究

无线传感器网络(WSN,Wireless Sensor Network)是一种由传感器、数据处理单元和通信模块集成的微小节点通过自组织方式构成的网络,其节点通常采用无法替换的电池供电,有限的能量使得节能问题成为无线传感器网络的研究重点方向.本文介绍了传感器的能耗情况,结合已有研究重点分析了关键节能技术及节能策略,并指出了研究方向.     

基于ATmega128的无线传感器网络节点设计

传感器节点是无线传感器网络的基本组成单位。大量无线传感器网络节点通过自组织方式构成网络,利用网络节点中各种传感器,能够实时采集和处理节点覆盖区域内的各种参数。介绍了无线传感器网络节点结构、节点组成单元的硬件电路和节点的软件结构。该节点以ATmega128低功耗处理器为核心,结合传感器电路和CC2420射频收发模块,实现对观察区域的实时监测。     

无线传感器网络电源智能控制系统设计

无线传感器网络是当前通信和计算机领域研究的热点之一,具有十分广阔的应用前景.阐述了无线传感器网络的概念,以无线传感器网络的电源单元为研究对象,重点阐述电源智能控制系统的构成,详细描述了电源智能控制系统各模块的电路结构及实现过程.系统通过对电源各路负载开关智能控制来节省电能、降低功耗,并通过采集电池电压实时监控电池电量.实验证明,该系统可以有效实现电路的开关控制、外部设备的体眠和唤醒以及电池信息的读取.该系统可以有效地节省电能、降低功耗.     

基于IEEE802.15.4标准的软件无线电技术研究

随着微机电、无线通信等关键支撑技术研究的持续发展,无线传感器网络的研究也进一步深化.无线传感器网络适用的领域越来越广,有人适时提出多媒体无线传感器网络的概念,以满足人们在传感器网络平台下对图像、语音,甚至视频数据等信息传输的需求.如何实现无线传感器网络在多种应用环境及同一环境下多工作模式的智能化转换,软件无线电技术无疑是一种较好选择.就软件无线电技术引入传感器网络进行一些探讨,对PHY层MAC层的技术进行了研究.最后,展示了一个简单的传感器网络软件无线电演示平台.     

无线传感器网络中多移动sink的选择策略

针对移动终端作为无线传感器网络中的移动sink情况下,提出了具有多个移动sink的稀疏无线传感器网络体系结构M2S2N.考虑到移动终端广泛存在的特性,为了有效地收集传感数据,提出了无线传感器网络中对移动sink的选择策略,并在此基础上提出了一种适合于M2S2N的基于功率控制的机会传输调度算法.仿真和分析表明选择最佳的移动sink可以有效地提高传感器节点的能量有效性和数据传输成功率.     

无线传感器网络及应用研究

随着微电子技术、计算机技术、无线通信和传感器技术的飞速发展和日益成熟,无线传感器网络得到迅速发展.无线传感器网络能实时监测、感知、采集和处理各种监测对象信息,已经成为了科学研究领域最前沿的课题之一.文章主要介绍了无线传感器网络的概念、结构、特点及其在一些领域的应用,并展望了无线传感器网络未来发展.     

基于无线传感器网络的仓库智能安保系统设计

将无线传感器网络技术用于智能仓库安保系统.针对无线传感器网络技术和智能仓库安保系统的特点,设计了基于无线传感器网络的智能仓库安保系统的一整套系统和网络节点.该系统体现了无线传感器网络的特点.利用计算机处理信息,根据处理结果作出相应反应、处理.实验表明,该系统使用方便、稳定可靠.     

ZigBee无线传感器网络节点的能耗研究

基于ZigBee技术的无线传感器网络具有巨大的应用前景.由于网络节点能量有限,如何最大限度地利用有限能量,提高网络节点的生命周期是关键问题.本文系统分析了ZigBee无线传感器网络节点中各个部分引起的能量消耗,提出从节点硬件结构和网络协议两方面来降低网络系统能耗,延长网络生命周期的策略.     

An efficient cluster-based communication protocol for wireless sensor networks

A wireless sensor network is a network of large numbers of sensor nodes, where each sensor node is a tiny device that is equipped with a processing, sensing subsystem and a communication subsystem. The critical issue in wireless sensor networks is how to gather sensed data in an energy-efficient way, so that the network lifetime can be extended. The design of protocols for such wireless sensor networks has to be energy-aware in order to extend the lifetime of the network because it is difficult to recharge sensor node batteries. We propose a protocol to form clusters, select cluster heads, select cluster senders and determine appropriate routings in order to reduce overall energy consumption and enhance the network lifetime. Our clustering protocol is called an Efficient Cluster-Based Communication Protocol (ECOMP) for Wireless Sensor Networks. In ECOMP, each sensor node consumes a small amount of transmitting energy in order to reach the neighbour sensor node in the bidirectional ring, and the cluster heads do not need to receive any sensed data from member nodes. The simulation results show that ECOMP significantly minimises energy consumption of sensor nodes and extends the network lifetime, compared with existing clustering protocol.     

Performance analysis of an improved dynamic power management model in wireless sensor node

The energy consumption in the wireless sensor networks is a very critical issue which attracts immediate attention for the sake of the growing demand of the billion dollar market in future. The Dynamic Power Management (DPM) technique is a way of controlling and saving the energy usage in a sensor node. Previously, researchers have proposed lifetime improving stochastic models for wireless sensor networks and limited work has been done focusing on the wireless sensor node. This paper proposes an analyser based Semi-Markov model for DPM in the event-driven sensor node. The power consumption comparison with previously proposed models without this analyser shows the analyser significant contributes to lifetime improvement. The improved model is more power efficient, presents how the DPM model observes the input event arrival and power states of the sensor node components, and then dynamically manages the power consumption of the overall system. Further, to observe the effect of event arrival, missed events, waiting time, processor utilization on the power consumption and lifetime, the proposed DPM system with the single server queuing model is developed.     

无线传感器网络的神经网络模型

无线传感器网络是复杂的无线网络。无线传感器网络拥有大量的网络节点。网络节点是无线传感器网络的基础。为了研究复杂的无线传感器网络，采用了神经元描述了WSN的网络节点，用神经元模型表示了无线传感器网络。给出了无线待感器网络节点的神经元模型和无线传感器网络的神经网络模型，并将神经网络应用于无线传感器网络的数据融合应用。结果表明，基于神经网络的无线传感器网络研究可以使得复杂研究变得简单，利于开展WSN的深入研究。     

无线传感器网络在医疗中的应用

首先简介无线传感器网络的体系结构以及无线传感器网络在医疗中的应用情况,接着对无线传感器网络医疗监护系统的体系结构以及监护节点的设计进行阐述,最后,阐述无线传感器网络应用到医疗监护时存在的挑战。     

QoS provisioning in wireless video sensor networks: a dynamic power management framework

Recent technological advances in microelectronics and nano-systems technologies have made it feasible to equip wireless sensor nodes with small low-cost cameras to capture and transmit video. Wireless video sensor networks are gaining popularity due to numerous potential applications such as video surveillance, environmental and habitat monitoring, and so on. However, due to the limited battery available in wireless video sensor nodes, provisioning of QoS in such a network is a challenging task. We provide a survey on the major issues related to QoS provisioning in wireless video sensor networks and possible solution approaches. A dynamic power management framework is proposed for a wireless video sensor node to improve energy saving performance so that the lifetime of the sensor node can be increased. This framework considers the video traffic arrival process in the sensor node, the sleep and wakeup processes in the camera and wireless transceiver electronics, the queue status, and the wireless channel condition. Performance analysis results show that the proposed mechanism can achieve considerable energy saving in a sensor node while providing a target level of QoS performance.     

EARQ: Energy Aware Routing for Real-Time and Reliable Communication in Wireless Industrial Sensor Networks

Wireless industrial sensor networks are wireless sensor networks which have been adapted to industrial applications. Most techniques for wireless sensor networks can be applied to wireless industrial sensor networks. However, for industrial applications of wireless industrial sensor networks, new requirements such as real-time, reliable delivery need to be considered. In this paper, we propose EARQ, which is a novel routing protocol for wireless industrial sensor networks. It provides real-time, reliable delivery of a packet, while considering energy awareness. In EARQ, a node estimates the energy cost, delay and reliability of a path to the sink node, based only on information from neighboring nodes. Then, it calculates the probability of selecting a path, using the estimates. When packet forwarding is required, it randomly selects the next node. A path with lower energy cost is likely to be selected, because the probability is inversely proportional to the energy cost to the sink node. To achieve real-time delivery, only paths that may deliver a packet in time are selected. To achieve reliability, it may send a redundant packet via an alternate path, but only if it is a source of a packet. Experimental results show that EARQ is suitable for industrial applications, due to its capability for energy efficient, real-time, reliable communications.      

A Distributed Secure Data Collection Scheme via Chaotic Compressed Sensing in Wireless Sensor Networks

Motivated by chaos technology and compressed sensing, we propose a distributed secure data collection scheme via chaotic compressed sensing in wireless sensor networks. The chaotic compressed sensing is applied to the encrypted compression of sensory data for sensor node and the data acquisition for whole sensory in wireless sensor networks. The proposed scheme is suitable for long-term and large scale wireless sensor networks with energy efficiency, network lifetime and security. A sensing matrix generation algorithm and active node matrix algorithm based on chaos sequence are proposed to ensure the secure and efficient transmission of sensor packets. The secret key crack, forgery, hijack jamming and replay attacks on the proposed algorithm are evaluated to show the robustness of this scheme. Simulations and real data examples are also given to show that the proposed scheme can ensure the secure data acquisition in wireless sensor networks efficiently.     

On composability of localization protocols for wireless sensor networks

Realistic, complex outdoor environments pose significant challenges for node localization in wireless sensor networks. In spite of the fact that many elegant and clever solutions have been proposed, no robust localization system has emerged. This status quo is because existing solutions work well for single sets of assumptions that, however, do not always hold in complex environments. In this article we review the state of the art for node localization in wireless sensor networks and show how localization protocol composability has the potential to provide the robust solution that is needed. By composing localization protocols in a hierarchy and allowing the execution of multiple localization schemes, robust solutions against any single protocol failure can be built.     

无线传感器网络节点的自身定位

无线传感器网络的自身节点的定位对网络来说是非常重要的，传感器节点是随机分布在网络中的，这关系到网络最终的定位精度；节点自身定位的方法从节点的个数主要有单点定位和两个节点的定位，这里提出另一种定位方法，运用三个节点实现传感器网络的节点定位。