一种支持QoS保障的智能传感网网络架构与模型设计

本文研究了支持Qo S保障的智能传感网的关键技术,针对传统传感器网络在智能节点数据处理和多媒体场景应用等方面无法提供面向多种服务的Qo S保障问题,提出一种支持Qo S的智能传感网网络架构与模型设计,该协议栈模型以提供多种服务的Qo S保障为核心,给智能传感网上层应用提供灵活、可靠的多Qo S要求的服务。同时本文具体讨论了支持Qo S保障的传输层拥塞控制模型。

GNSS连续运行参考站网的下一代发展方向——地基地球空间信息智能传感网络

介绍了智能时代的网络组成,探讨了地球空间信息智能传感网的结构和特性,进而阐述了基于GNSS的连续运行参考站网(CORS)的初步智能特征。在此基础上,阐述了CORS可以构成地球空间信息智能传感网的地基基础设施的缘由,并指出了其未来发展方向和应用情况。

智能传感器技术发展综述

从智能传感器的概念和架构出发,研究了MEMS、CMOS、光谱学等主流技术智能传感器的基本发展情况。探讨了智能传感器的实现途径。列举了军用智能传感器的重点应用领域和技术。结合国内实际情况,提出关于智能传感器的发展建议。

基于无线传感器网络定位技术的图书馆智能管理创新

"互联网+"时代,信息技术的发展对图书馆的智能化管理工作提出了更高的要求。文章概述了无线传感器网络与定位技术,重点讨论了如何将WSN定位技术运用到图书智能管理,通过定位技术与大数据、云计算等信息技术的结合,推动图书馆智能系统建设和智能化发展。

智能家居——让生活变得更美好

以住宅为平台,兼备建筑、网络通信、信息家电、设备自动化,集系统、结构、服务、管理为一体的高效、舒适、安全、便利、环保的智能家居系统可以为您提供家电控制、照明控制、窗帘控制、电话远程控制、室内外遥控、防盗报警、以及可编程定时控制等多种功能和手段,使您的更加舒适、便利生活和安全。

分布式光纤拉曼光子温度传感器的研究进展

研究和讨论了分布式光纤传感器系统的测温方法和原理,介绍了国内外的研究概况、存在的问题和当前的研究趋势,探索了新一代光纤非线性效应的光纤传感机理。提出了光纤非线性散射效应的融合原理,研究和设计了一系列基于光纤拉曼与布里渊散射的分布式光纤传感器,采用光纤色散与损耗光谱的自校正方法提高了系统的可靠性、空间分辨率和测温精度;采用脉冲编码调制光源,提高了系统的信噪比和测温精度。

Intelligent emergency service system based on wireless sensor and actuator networks

An intelligent emergency service（ IES） system is designed for indoor environments based on a wireless sensor and actuator network（ WSAN） composed of a gateway, sensor nodes, and a multi-robot system（ MRS）. If the MRS receives accident alarm information, the group of robots will navigate to the accident sites and provide corresponding emergency services.According to the characteristics of the MRS, a distributed consensus formation protocol is designed, which can assure that the multiple robots arrive at the accident site in a specified formation. The prototype emergency service system was designed and implemented, and some relevant simulations and experiments were carried out. The results showthat the MRS can successfully provide emergency lighting and failure node replacement services when accidents happen. The effectiveness of the algorithm and the feasibility of the system are verified.

SI-INSPIRED ENERGY AWARE QoS ROUTING TREE FOR WSN

A heuristic theoretical optimal routing algorithm （TORA） is presented to achieve the data-gathering structure of location-aided quality of service （QoS） in wireless sensor networks （WSNs）. The construction of TORA is based on a kind of swarm intelligence （SI） mechanism, i. e. , ant colony optimization. Firstly, the ener- gy-efficient weight is designed based on flow distribution to divide WSNs into different functional regions, so the routing selection can self-adapt asymmetric power configurations with lower latency. Then, the designs of the novel heuristic factor and the pheromone updating rule can endow ant-like agents with the ability of detecting the local networks energy status and approaching the theoretical optimal tree, thus improving the adaptability and en- ergy-efficiency in route building. Simulation results show that compared with some classic routing algorithms, TORA can further minimize the total communication energy cost and enhance the QoS performance with low-de- lay effect under the data-gathering condition.

Real-time Threshold Routing Algorithm Based on Wireless Sensor Network

[Objective] This study was to design an intelligent greenhouse real-time monitoring system based on the core technology of Internet of Things in order to meet the needs of agricultural informatization and intellectualization. [Method] Based on the application characteristics of Wireless Sensor Network （WSN）, the intelligent greenhouse monitoring system was designed. And for the incompleteness strategy of load balancing in the Low-Energy Adaptive Clustering Hierarchy （LEACH）, a Real- time Threshold Routing Algorithm （RTRA） was proposed. [Result] The performance of network lifetime and network delay of RTRA were tested in MATLAB and found that, within the same testing environment, RTRA can save nodes energy consumption, prolong network lifetime, and had better real-time performance than LEACH. The al- gorithm satisfies the crops＇ requirements on real-time and energy efficiency in the greenhouse system. [Conclusion] For the good performance on real-time, the de- signed intelligent greenhouse real-time monitoring system laid the foundation for the research and development of agricultural informatization and intellectualization.

Smart Home Based on Wireless Sensor-Actuator Networks

Wireless sensor-actuator networks can bring flexibility to smart home.We design and develop a smart home prototype using wireless sensor-actuator network technology to realize environmental sensing and the control of electric appliances.The basic motivation of our solution is to utilize the collaboration among a mass of low-cost sensor nodes and actuator nodes to make life convenient.To achieve it,we design a novel system architecture with assembled component modules.In particular,we address some key technical challenges:1) Field-Programmable Gate Array (FPGA) Implementation of Adaptive Differential Pulse Code Modulation (ADPCM) for audio data;2) FPGA Implementation of Lempel Ziv Storer Szymanski (LZSS) for bulk data;3) combination of complex control logic.Finally,a set of experiments are presented to evaluate the performance of our solution.

Self-powered systems by nanogenerators and smart MEMS by piezotronics

Developing wireless nanodevices and nanosystems is of critical importance for sensing, medical science, environmental/infrastructure monitoring, defense technology and even personal electronics. It is highly desirable for wireless devices to be self-powered without using battery, without which most of the sensor network may be impossible. The pie- zoelectric nanogenerators have the potential to serve as self-sufficient power sources for micro/nano systems. For wurtzite structures that have non-central symmetry, such as ZnO, GaN and InN, a piezoelectric potential （piezopotential） is created in the crystal by applying a strain. The nanogenerator is invented by using the piezopotential as the driving force for electrons to flow in respond to a dynamic straining of piezoelectric nanowires. A gentle straining can produce an output voltage of up to 20 - 50 V from an integrated nanogenerator. Furthermore, piezopotential in the wurtzite structure can serve as gate voltage that can effectively tune/control the charge transport across an interface/junction; electronics fabricated based on such a mechanism is coined as piezotronics, with applications in force/pressure triggercd/controlled electronic devices, sensors, logic units and memory. By using the piezotronic effect, it is showed that the optoelectronic devices fabricated using wurtzite materials can have superior performance as solar cell, photon detector and light emitting diode. Piezotronie is likely to serve as ＂mechanosensation＂ for directly interfacing biomechanieal action with silicon based technology and active flexible electronics. The paper gives a brief review about the basis of nanogenertors and piezotronics and their potential applications in smart MEMS （micro-electro-mechanical systems）.

Novel Fiberoptic Sensing Array and Fundamental Experiments

A suitable fiberoptic sensing array embedded in the smart structure to monitor quasi-distributed forces on the structure is presented in this paper.Artificial nearal networks are used in processing of fiberoptic sensing array signals.Fundamental experiments have been done and the results are also given.

变电设备无线温度智能远程监控系统研究

针对变电站智能化远程监控发展的长远意义和特殊需求,设计低功耗智能无线测温终端,传输距离大于300 m,使用寿命大于3年;基于双LoRa无线传输机制,提出一种基于无线测温技术的变电设备实时温度监控实施方案,结合B/S服务架构和MySQL数据库构建智能温度测量系统,完成变电站的温度信息采集与控制,并投入实际现场应用.在实际部署中,一台主机支持64个无线测温节点,系统在数据传输抗阻塞和防碰撞方面具有明显优势,具有良好的实时性、稳定性、低功耗性,能实现对电力场所无间断、全覆盖、全数字自动化的实时记录、分析,有很好的工程应用价值,弥补了智能传感网络中温度测控在变电设备领域应用的空缺与不足.

Multiple Mobile Sinks Data Dissemination Mechanism for Large Scale Wireless Sensor Network

WSN has been developing from traditional environment monitoring applications to the ubiquitous information services such as the Congestion-oriented Intelligent Transportation System （ColTS）. However, the mobility of nodes makes data dissemination a hard nut to crack. In this paper, we propose MSDD, a multiple mobile sinks data dissemination mechanism for solving the dissemination problem. The main ideas of MSDD are constructing a two-tier grid structure by a designated sink, exploiting a hierarchical monitoring mechanism, and employing a global agent to track the sink locations in order to make the emergencies reported to the sinks immediately, In addition, MSDD supports the query-driven data dissemination. Being compared with TTDD, MSDD is theoretically proved to have less communication overhead. We also validate MSDD outperforms TTDD in reliability and the emergency delivery latency bv simulations.

uSensing：a Universal Platform to Support Smartphones Accessing Wireless Sensor Networks

This paper presents a universal platform "uSensing" to support smartphones to communicate with sensor nodes in Wireless Sensor Networks (WSNs).Since phones have different CPU processers and operating systems,it is a challenge to merge these heterogeneities and develop such a universal platform.In this paper,we design both hardware and software to support the "universal" feature of uSensing:1) "uSD" card:an IEEE 802.15.4 physical communication card with SD interface;2) "uSinkWare":a WSNs middleware running on smartphones.Integrated with uSD card and uSinkWare,phones become mobile data sinks to access into WSNs and parse messages from sensor nodes.We demonstrate the proposed uSensing platform in a commercial smartphone to connect with our WSNs testbed,and validate that the smartphone has the same WSNs functions as commercial fixed sink.Additionally,we evaluate the performance of uSensing platform through measuring phone's CPU load and power consumption,and analyze the performance of these metrics theoretically.The results suggest that the phone-based mobile sink has enough capability to serve as a mobile sink of WSNs and can work up to twenty hours due to low power consumption.

Networking Intelligent Pressure Sensor Using Digital Lock-in Amplification Technology

Introducing a System-on-Chip （SoC） microcontroller （C8051F350） into a ceramic pressure sensor has resulted in the design of a intelligent sensor. An improved algorithm for digital phassensitive detection is used to perform lock-in amplification of the sensor signal. The compensation for the sensor error is realized by the detection of the sensor＇s supply voltage and working temperature. The system also has the function of short/open circuit fault detection and can ommamicate with other digital equipment through an RS-485 communication interface. In the design, full utilization of the SoC microcontroller＇ s internal resource results in the simple hardware structure. Experimental results show that the error of the sensor is less than 0.5% at range ratio 1 ： 10. Employing the microcontroller and using lock-in amplification algorithm are an effective method for achieving an intelligent sensor of slowly-varying physical quantities, thereby improving the measuring accuracy and performance.

Study on WSN Localization Algorithm and Simulation Model for Intelligent Transportation System

This paper conducts research on the algorithm to improve the location of Wireless Sensor Network （WSN） in Intelligent Transportation System （ITS）. The localization algorithm introduced an improved RSSI vehicle localization algorithm based on multi-path effect and Gaussian white noise. The localization results under different values of Gaussian white noise and different density of beacon nodes are analyzes, and Kalman filtering algorithm is introduced to reduce the influence of signal noise. Finally, a simulation model of ITS is developed to test the algorithm based on mixed noise and Kalman filtering algorithm, which is used to simulate the localization of real vehicles. The simulation shows the algorithm has effect to improve location accuracy and to application

大数据背景下的信号处理

宽带信号、高维信号、高分辨信号以及多传感器组网技术的快速发展,使得信号采集数据增长率高于数据存储增长率和信号处理速度增长率,信号处理进入了大数据时代.本文指出了大数据背景下的信号处理的关键问题.对于多传感器组网具有的多样性和复杂性的海量信号数据,必须进行信息融合,本文介绍了信号融合的主要模型方法,分析了信息融合技术的发展趋势.智能传感网技术能降低对信号处理和通信容量的要求,有效地在大数据中提取有价值数据.本文给出了智能传感器的基本结构,阐述了智能传感器的计算方法.结合大数据容量信号对高速实时处理的要求,介绍了高速数字信号处理芯片以及高性能硬件平台发展现状,展望了高速信号处理核心技术的发展动向.

大数据环境下关于信号处理的技术探讨

现阶段,宽带信号、高分辨信号、多传感器组网技术发展迅猛,出现了信号采集数据增长率大于信号处理速度和数据存储的增长率的局面,标志着信号处理已迈入大数据的时代。本文较为详细的介绍大数据环境下的信号处理的一些核心的技术:先分析多传感器组网技术,其信号数据往往具有量大、多样、复杂等特点,因而有效的实现信息融合是相当必要的;再介绍了智能传感网技术,该技术在有效的降低后续的通信容量和信号处理要求方面有着显著的优势,因而能够在大数据环境中更加容易的实现有用信号数据的提取;最后分析了高速信号处理技术,论述该技术发展面临的困境,同时还对高速信号处理技术应该朝着什么样的方向发展进行了展望。

Optical Sensing： the Last Frontier for Enabling Intelligence in Our Wired up World and Beyond

Consigned to the shadows of telecommunications, optical sensing has often taken a back seat in a young person＇s mind when considering the importance of photonics, or optics, to the advancement of the society and of knowledge. Here, I touch on briefly how broad optical sensing and sensing generally has become and how and why it is becoming the catalyst for the convergence of many technologies and in the process raising significant philosophical questions about the transformation of our society and indeed ourselves. In doing so I touch on many of the complexities in real life that influence the breakthroughs we see today, including a healthy speculation and critique on our society and an awareness of the motivations to improve it that drive many of them.