一种低功耗无线传感网络节点的设计

无线传感器网络是物联网的传感层。在无线传感器网络的设计与实现中,低功耗成为系统应用的重要制约,因此设计低功耗节点是当前研究难题之一。在自主研发的基于无线传感网络的智能交通系统中,研究电源功耗问题,设计并制作完成了低功耗无线传感网络节点。     

一种低功耗无线传感网络节点的设计

无线传感器网络是物联网的传感层。在无线传感器网络的设计与实现中,低功耗成为系统应用的重要制约,因此设计低功耗节点是当前研究难题之一。在自主研发的基于无线传感网络的智能交通系统中,研究电源功耗问题,设计并制作完成了低功耗无线传感网络节点。     

无线传感网络节点信号模型

无线传感网络是集成了嵌入系统、无线通信、分布计算、微传感器技术的新型网络。无线传感网络节点是构成WSN的基础。为了解无线传感网络节点的工作原理,描述无线传感网络节点的理论,通过分析无线传感网络节点的组成和信号处理过程,研究了无线传感网络节点的信号模型。并给出了基于Atmega128L处理器的无线传感网络节点实际模型。研究为无线传感网络节点的理论和实际应用提供了积极的意义。     

楼字中火灾监测无线传感节点覆盖算法研究

该文介绍了无线传感网络在智能楼宇中的应用,详细分析了基于无线传感网络的楼宇火灾监测预警系统的系统结构,并从数学角度论证了一种在楼宇环境内应用的无线传感网络节点高效覆盖算法,有效地解决了冗余覆盖问题。     

一种基于分布式智能的网络机器人系统

提出了一种基于网络智能的分布式智能体系,构建并实现了基于分布式智能的网络机器人系统．通过赋予传感器以智能,将网络环境中的不同个体抽象为不同的智能节点．传感智能节点处理和传输多种层次的传感信息,实现传感智能的交互与共享．机器人节点以自主感知能力和“网络即插即用”机制为基础,根据任务的需要以及网络的传输状况,主动从网络中获取相应层次的智能和信息．实验表明,该体系有效地减轻了网络通信负担,提高了网络机器人系统的整体性能和智能水平．     

粗糙集在无线传感网络中的智能信息处理研究*

针对无线传感器网络中不精确、不确定数据问题,提出了将信息处理和粗糙集技术融为一体的新研究思路,并基于分层簇结构给出了一种层次型智能信息处理方法。无线传感器网络实时森林火灾监测的示例与分析表明,该方法在实际应用中,通过从三个层次进行知识约简等智能数据分析,挖掘实用决策规则,使传感器节点仅自动获取和传送有效的最小数据集信息,实现了智能信息处理、能量消耗和系统性能之间的平衡。     

基于无线传感网络的图书馆湿度监控系统

针对传统图书馆温湿度监控系统组网不便、扩展性差、维护成本高等问题,提出基于无线传感网络的图书馆湿度监控系统,构建以上位PC机为管理平台,以中心协调器节点和众多终端节点的智能无线传感网络为支撑的图书馆湿度监控系统,具有组网方便、设置简单、综合成本低、管理科学便捷的优势。     

无线传感器网络节点的功耗分析与测试

能量消耗问题是无线传感器网络的核心问题,直接影响着网络的生命周期。本文从无线传感器网络节点的硬件构成其及运行机制、计算复杂性、数据通信量等方面去分析节点的功耗,并建立模块的功耗模型;接着研究传感节点的电流特点和微功耗测量技术,设计了一种传感节点的测量系统,以验证节点的低功耗特性。这些措施都是为了更好地分析解决无线传感网络中的能量消耗问题,保证传感器网络能量管理的有效性。     

无线传感器网络SOC芯片的低功耗设计

该文提出了一种无线传感器网络节点的SOC解决方案,介绍SOC设计的要点及VLSI低功耗设计的特点,在此基础上,着重分析了无线传感网络节点的体系结构,并从系统级,结构级,RTL级及物理设计几个方面阐述了无线传感网络节点芯片的低功耗设计。整个设计在FPGA上通过验证,并且完成了芯片的物理设计。     

粗糙集在无线传感网络中的智能信息处理研究

针对无线传感器网络中不精确、不确定数据问题,提出了将信息处理和粗糙集技术融为一体的新研究思路,并基于分层簇结构给出了一种层次型智能信息处理方法.无线传感器网络实时森林火灾监测的示例与分析表明,该方法在实际应用中,通过从三个层次进行知识约简等智能数据分析,挖掘实用决策规则,使传感器节点仅自动获取和传送有效的最小数据集信息,实现了智能信息处理、能量消耗和系统性能之间的平衡.     

基于WSNs和电力载波的教室智能节能系统设计

为了解决无线通信方式在教室控制网络中易受干扰和教室电器能源浪费问题,提出了一种基于无线传感器网络(WSNs)和电力线载波通信技术相结合的智慧教室电器节能设计方案.在总结了智慧教室控制系统研究现状、主要技术难点和挑战的基础上,着重阐述了智慧教室的控制网络拓扑结构和工作流程,详细分析了电力载波智能收发器的内部结构.此外,还实现了一种基于智能照明控制算法的智慧教室控制系统的原型.实验结果表明,该系统能够降低数据包的丢失率,相比普通LED照明系统能耗节省至少40％,并且运行可靠.     

Instrumenting Wireless Sensor Networks — A survey on the metrics that matter

Wireless Sensor Networks (WSN) are part of the technical fundament enabling the ‘Internet of Things’ (IoT), where sensing and actuator nodes instantaneously interact with the environment at large. As such they become part of everyday life and drive applications as diverse as medical monitoring, smart homes, smart environment, and smart factories, to name but a few. To acquire data, individual sensors interact with the physical environment by sensing physical phenomena in proximity. The wireless network connectivity is leveraged to collect the raw data or pre-processed events, and to disseminate code, queries or commands. Actuating capabilities facilitate instant interactions with the environment or application processes. Experience on how to operate large scale heterogeneous WSNs in (critical) real-world applications is still scarce, and operational considerations are often an afterthought to WSN deployment. A principled look into the metrics, i.e., a standard or best practice of measurement of the ‘vital’ parameters in WSNs is still missing. In this article, we contribute a survey on the most important metrics to characterize the performance of WSNs. We define an abstract system model for WSNs, take a look on what the WSN community considers ‘metrics that matter’, and categorize the metrics into scopes of relevance. We discuss the properties of the metrics as well as practical aspects on how to obtain and process them. Our survey can serve as a ‘manual’ for implementors and operators of WSNs in the IoT.     

基于灰色预测的分布式传感器网络故障检测方法

针对无线传感器网络节点故障原因复杂,基于灰色预测理论,提出一种故障检测方法。算法通过分析在某一采样间隔内,观测节点数据变化趋势是否与邻居节点变化趋势一致,从而确定节点是否异常。仿真实验表明,算法故障检测能力较强,且避免了节点瞬间失效情况的出现。同时该算法设计简单,易于硬件实现。     

用于智能电网的有差别射频充电传感器网络

针对应用于智能电网中的无线传感器网络(WSNs)节点能量受限问题,分析了基于无线射频充电技术的为传感器节点充电技术,改进了可持续无线充电传感器网络(SWRSNs),提出有差别射频充电传感器网络(DRRSNs)技术,增加节点的优先级设置,建立整数线性规划模型,用CPLEX求解模型确定标志性节点位置。求解数据表明:节点获得的能量平均提高105%,高优先级节点比低优先级节点平均多获得43%的能量,提高了节点的寿命,保证了WSNs的可靠性,但是路径访问效率平均降低了14%。     

A new efficient error control algorithm for wireless sensor networks in smart grid

Error detection and correction is an important issue in the design and maintenance of a smart grid communication network to provide reliable communication between sender and receiver. Various error-control coding techniques are employed to reduce bit error rates (BER) in wireless sensor networks (WSNs). The performance of these techniques is also compared and evaluated to find the most suitable technique for WSNs. This is the first study to compare the most efficient coding techniques in the smart grid environment, and it suggests a new error correction algorithm based on this comparison result. Therefore, this article first examines and compares two forward error control (FEC) coding techniques such as Bose-Chaudhuri-Hochquenghem code (BCH) and Reed Solomon code (RS) with various modulation methods including frequency shift keying (FSK), offset quadrature phase-shift keying (OQPSK), and differential phase shift keying (DPSK) in a 500 kV line-of-sight (LoS) substation smart grid environment. Second, as a result of this comparison, a new adaptive error control (AEC) algorithm is proposed. Adaptive error control adaptively changes error correction code (ECC) based on the channel behavior that is observed through the packet error rate (PER) in the recent previous transmissions. The link-quality-aware capacitated minimum hop spanning tree (LQ-CMST) algorithm and the multi-channel scheduling algorithm are used for data transmission over the log-normal channel. Therefore, the performance of compared coding techniques and AEC are also evaluated when multiple channels are used during transmission. Further, AEC is compared with static RS and without-FEC methods based on performance metrics such as the throughput, BER, and delay in different smart grid environments, e.g., 500 kV Substation (LoS), underground network transformer vaults (UTV) (LoS), and main power control room (MPR) (LoS). Our simulation results indicate that the proposed AEC algorithm achieves better performances than all those techniques.     

An efficient two-factor user authentication scheme with unlinkability for wireless sensor networks

User authentication with unlinkability is one of the corner stone services for many security and privacy services which are required to secure communications in wireless sensor networks (WSNs). Recently, Xue et al. proposed a temporal-credential-based mutual authentication and key agreement scheme for WSNs, and claimed that their scheme achieves identity and password protection, and the resiliency of stolen smart card attacks. However, we observe that Xue et al.’s scheme is subject to identity guessing attack, tracking attack, privileged insider attack and weak stolen smart card attack. In order to fix the drawbacks, we propose an enhanced authentication scheme with unlinkability. Additionally, the proposed scheme further cuts the computational cost. Therefore, the proposed scheme not only remedies its security flaws but also improves its performance. It is more suitable for practical applications of WSNs than Xue et al.’s scheme.     

一种基于无线传感器网络的导游信息系统

在无线传感器网络体系结构基础上,以可穿戴计算机为移动节点并结合智能节点,提出了一种新型的导游信息系统。阐述了该信息系统的体系结构;设计并实现了符合系统需求的可穿戴计算机和智能节点;介绍了一种新型导游信息系统的软件架构,分析了其中的重要层次,并编写了相应的应用软件;设计并实现了一种校园旅游应用。     

Energy efficient and reliable data gathering using internet of software-defined mobile sinks for WSNs-based smart grid applications

The smart grid is an emerging concept that introduces innovative ways to handle the power quality and reliability issues for both service provider and consumers. The key aims of the smart grid (SG) in smart cities (SCs) is to preserve a certain level of residents’ life quality and support the entire spectrum of their economic activities. In this paper, we present a novel Energy Efficient and Reliable Data Gathering Routing Protocol (ODGRP) for wireless sensor networks (WSNs)-based smart grid applications. The developed scheme employs a software-defined centralized controller and multiple mobile sinks for energy efficient and reliable data gathering from WSNs in the SG. The extensive simulation results conducted through the EstiNet 9.0 show that the designed scheme outperforms existing approaches and achieves its defined goals for event-driven applications in the SG.     

Multi-level clustering protocol for load-balanced and scalable clustering in large-scale wireless sensor networks

The Journal of Supercomputing - The advent of wireless sensor networks (WSNs) has revolutionized the field of smart applications. In order to improve the performance of WSNs, refinement of...     

基于无线传感器网络节点的RFID系统节能研究

为了提高射频识别(RFID)系统的能量利用效率,在无线传感器网络节点结构的基础上,提出一种改进方案,将RFID读写器集成到传感器节点中,取代原有的传感器模块,形成读写器智能节点,并利用传感器节点的节能控制机制实现RFID系统对有限能量的高效利用。以SK—WSN—I无线传感器网络节点和SK—RFID—TRF796X—II读写器模块作为实验平台,进行Matlab仿真,验证了改进方案的节能效果。