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A Configurable Routing Protocol for Improving Lifetime and Coverage Area in Wireless Sensor Networks 一种提高无线传感器网络生存期和覆盖面积的可配置路由协议
Pub Date : 2017-09-28 DOI: 10.4236/WSN.2017.99018
A. Alshahrani, N. Namazi, Majed Abdouli, A. Alghamdi
The particularities of Wireless Sensor Networks require specially designed protocols. Nodes in these networks often possess limited access to energy (usually supplied by batteries), which imposes energy constraints. Additionally, WSNs are commonly deployed in monitoring applications, which may intend to cover large areas. Several techniques have been proposed to improve energy-balance, coverage area or both at the same time. In this paper, an alternative solution is presented. It consists of three main components: Fuzzy C-Means for network clustering, a cluster head rotation mechanism and a sleep scheduling algorithm based on a modified version of Particle Swarm Optimization. Results show that this solution is able to provide a configurable routing protocol that offers reduced energy consumption, while keeping highcoverage area.
无线传感器网络的特殊性需要专门设计的协议。这些网络中的节点通常拥有有限的能源(通常由电池提供),这会带来能源限制。此外,无线传感器网络通常部署在监控应用程序中,这些应用程序可能打算覆盖大片区域。已经提出了几种技术来同时改善能量平衡、覆盖面积或两者。在本文中,提出了一种可供选择的解决方案。它由三个主要组成部分组成:用于网络聚类的模糊C均值、簇头旋转机制和基于改进版本的粒子群优化的睡眠调度算法。结果表明,该解决方案能够提供一种可配置的路由协议,在保持高覆盖区域的同时,降低能耗。
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引用次数: 3
An Integrated Cloud-Based Wireless Sensor Network for Monitoring Industrial Wastewater Discharged into Water Sources 基于云的集成无线传感器网络用于监测排放到水源中的工业废水
Pub Date : 2017-08-10 DOI: 10.4236/WSN.2017.98016
Y. Zakaria, Kisangiri Michael
This paper presents a prototype of an Integrated Cloud-Based Wireless Sensor Network (WSN) developed to monitor pH, conductivity and dissolved oxygen parameters from wastewater discharged into water sources. To provide realtime online monitoring and Internet of Things (IoT) capability, the system collects and uploads sensor data to ThingSpeak cloud via GPRS internet connectivity with the help of AT commands in combination with HTTP GET method. Moreover, the system sends message alert to the responsible organ through GSM/GPRS network and an SMS gateway service implemented by Telerivet mobile messaging platform. In this prototype, Telerivet messaging platform gives surrounding communities a means of reporting observed or identified water pollution events via SMS notifications.
本文介绍了一个基于云的集成无线传感器网络(WSN)的原型,该网络用于监测排入水源的废水的pH、电导率和溶解氧参数。为了提供实时在线监测和物联网(IoT)功能,该系统在AT命令的帮助下,结合HTTP GET方法,通过GPRS互联网连接收集传感器数据并将其上传到ThingSpeak云。此外,该系统还通过GSM/GPRS网络和Tele铆钉移动消息平台实现的SMS网关服务向责任机构发送消息警报。在这个原型中,Tele铆钉消息平台为周围社区提供了一种通过短信通知报告观察到或确定的水污染事件的方式。
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引用次数: 29
BeaLib: A Beacon Enabled Smart Library System BeaLib:一个信标智能图书馆系统
Pub Date : 2017-08-10 DOI: 10.4236/WSN.2017.98017
M. Uttarwar, Arun K. Kumar, P. Chong
Nowadays, Global Positioning Systems (GPS) receivers are used for outdoor navigation, which are the part of recent smartphones and tablet devices. However, GPS is not suitable for indoor navigations due to its signal limitations which are blocked by ceiling and walls. Indoor navigation can be achieved through a mobile phone using a recent technology that utilizes Bluetooth, namely beacons. Beacons are small transmitters, run on Bluetooth Low Energy (BLE) technology, used as a point of reference for mobile devices and they can detect a Bluetooth enabled device once it enters its transmission range. In this paper, we present BeaLib: a beacon assisted indoor navigation technique for smart libraries. The proposed indoor navigation technique can also be used for other applications such as offices, retails, airports, hospitality, and education. For experimentation, beacons are placed in a library and a Bluetooth enabled smartphone is used to install a digital library application (App) which communicates with the beacons. The result shows that when the smartphone comes in the range of a beacon, it shows the information related to the book on the smartphone screen.
如今,全球定位系统(GPS)接收器被用于户外导航,这是最近智能手机和平板设备的一部分。然而,GPS不适合室内导航,因为它的信号受到天花板和墙壁的限制。室内导航可以通过使用蓝牙的最新技术(即信标)的手机来实现。信标是一种小型发射机,运行在蓝牙低能耗(BLE)技术上,用作移动设备的参考点,一旦启用蓝牙的设备进入其传输范围,它们就可以检测到该设备。在本文中,我们提出了BeaLib:一种用于智能图书馆的信标辅助室内导航技术。所提出的室内导航技术也可用于其他应用,如办公室、零售店、机场、酒店和教育。为了进行实验,信标被放置在图书馆中,并使用支持蓝牙的智能手机安装与信标通信的数字图书馆应用程序(应用程序)。结果显示,当智能手机进入信标范围时,它会在智能手机屏幕上显示与书籍相关的信息。
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引用次数: 6
An Application of Kalman Filtering and Artificial Neural Network with K-NN Position Detection Technique 卡尔曼滤波和人工神经网络在K-NN位置检测技术中的应用
Pub Date : 2017-08-10 DOI: 10.4236/WSN.2017.98013
Hakan Koyuncu, B. Koyuncu
RFID technology is one of the important technologies to determine the object locations. Distances are calculated with respect to calibration curves of RSSI amplitudes. The aim of this study is to determine the 2D position of mobile objects in the indoor environment. The importance of the work is to show that localization by using Artificial Neural Network plus Kalman Filtering is more accurate than using classical KNN method. An indoor wireless sensing network is established with strategically stationed RFID transmitter nodes and a mobile object with a RFID receiver node. A fingerprint map is generated and K-Nearest Neighbourhood algorithm (KNN) is deployed to calculate the object locations. Fingerprint coordinates and RSS values received at these coordinates are deployed to set up an Artificial Neural Network (ANN). This network is used to determine the unknown object locations by using RSS values received at these locations. The accuracy of object localization is found to be better with ANN technique than KNN technique. Object coordinates, determined with ANN technique, are subjected to Kalman filtering. The results show that localization accuracies are improved and localization error distances are reduced by 46% with the deployment of ANN + Kalman Filtering.
RFID技术是确定物体位置的重要技术之一。距离是相对于RSSI幅度的校准曲线来计算的。本研究的目的是确定移动物体在室内环境中的二维位置。该工作的重要性在于表明,使用人工神经网络加卡尔曼滤波的定位比使用经典KNN方法更准确。室内无线传感网络由战略部署的RFID发射器节点和具有RFID接收器节点的移动物体建立。生成指纹图,并使用K近邻算法(KNN)来计算对象位置。指纹坐标和在这些坐标处接收的RSS值被部署以建立人工神经网络(ANN)。该网络用于通过使用在这些位置接收的RSS值来确定未知对象位置。与KNN技术相比,ANN技术的目标定位精度更高。利用人工神经网络技术确定目标坐标,并对其进行卡尔曼滤波。结果表明,采用人工神经网络+卡尔曼滤波,定位精度提高,定位误差距离减少46%。
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引用次数: 2
Wildfire Monitoring and Detection System Using Wireless Sensor Network: A Case Study of Tanzania 利用无线传感器网络的野火监测与探测系统:以坦桑尼亚为例
Pub Date : 2017-08-10 DOI: 10.4236/WSN.2017.98015
A. S. Lutakamale, S. Kaijage
This paper proposes a wildfire monitoring and detection system based on wireless sensor network. This system detects fire by monitoring surrounding temperature, humidity and smoke. Once fire is detected, a warning message containing probable location of that fire is immediately sent to the responsible authority over cellular network. In order for the system to be more effective, communities living near forests or national parks can send warning messages through the same system to the responsible authority using their mobile handsets once they witness wildfire or illegal activities. For the system to be fully functional, the only requirement is the availability of cellular network coverage in forests or national parks to enable short message services to take place. The system prototype is developed using Arduino microcontroller, several sensors to detect temperature, relative humidity and smoke as well as wireless network connection modules. At the control center Telerivet messaging platform is used to design the messaging service. The experimental results justify the capability of the proposed system in detecting wildfire in real time.
提出了一种基于无线传感器网络的野火监测检测系统。该系统通过监测周围的温度、湿度和烟雾来探测火灾。一旦检测到火灾,包含火灾可能位置的警告信息将立即通过蜂窝网络发送给主管部门。为了使该系统更有效,居住在森林或国家公园附近的社区一旦目睹野火或非法活动,可以通过该系统使用手机向主管当局发送警告信息。要使该系统充分发挥作用,唯一的要求是在森林或国家公园有蜂窝网络覆盖,以便进行短消息服务。系统原型采用Arduino微控制器、多个温度、相对湿度和烟雾传感器以及无线网络连接模块开发而成。在控制中心,使用电视消息传递平台设计消息传递服务。实验结果验证了该系统对野火的实时检测能力。
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引用次数: 47
Media Access with Spatial Reuse for Cooperative Spectrum Sensing 基于空间复用的协同频谱传感媒体接入
Pub Date : 2017-07-31 DOI: 10.4236/WSN.2017.97012
Xiaofei Shao, H. Leib
The increasing interest for wireless communication services and scarcity of radio spectrum resources have created the need for a more flexible and efficient usage of the radio frequency bands. Cognitive Radio (CR) emerges as an important trend for a solution to this problem. Spectrum sensing is a crucial function in a CR system. Cooperative spectrum sensing can overcome fading and shadowing effects, and hence increase the reliability of primary user detection. In this paper we consider a system model of a dedicated detect-andforward wireless sensor network (DetF WSN) for cooperative spectrum sensing with k-out-of-n decision fusion in the presence of reporting channels errors. Using this model we consider the design of a spatial reuse media access control (MAC) protocol based on TDMA/OFDMA to resolve conflicts and conserve resources for intra-WSN communication. The influence of the MAC protocol on spectrum sensing performance of the WSN is a key consideration. Two design approaches, using greedy and adaptive simulated annealing (ASA) algorithms, are considered in detail. Performance results assuming a grid network in a Rician fading environment are presented for the two design approaches.
对无线通信服务的日益增长的兴趣和无线电频谱资源的稀缺已经产生了对无线电频带的更灵活和有效使用的需求。认知无线电(CR)是解决这一问题的一个重要趋势。频谱传感是CR系统中的一项关键功能。协同频谱感知可以克服衰落和阴影效应,从而提高主用户检测的可靠性。在本文中,我们考虑了一个专用检测和前向无线传感器网络(DetF-WSN)的系统模型,用于在存在报告信道错误的情况下,通过n中k的决策融合进行协作频谱传感。使用该模型,我们考虑设计一种基于TDMA/OFDMA的空间复用媒体访问控制(MAC)协议,以解决冲突并节省WSN内通信的资源。MAC协议对无线传感器网络频谱感知性能的影响是一个关键考虑因素。详细考虑了贪婪算法和自适应模拟退火算法两种设计方法。给出了两种设计方法在Rician衰落环境中假设网格网络的性能结果。
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引用次数: 0
A Cross-Layer Optimization Framework for Energy Efficiency in Wireless Sensor Networks 无线传感器网络能量效率的跨层优化框架
Pub Date : 2017-06-28 DOI: 10.4236/WSN.2017.96011
Karuna Babber, Rajneesh Randhawa
We consider the extension of network lifetime of battery driven wireless sensor networks by splitting the sensing area into uniform clusters and implementing heterogeneous modulation schemes at different members of the clusters. A cross-layer optimization has been proposed to reduce total energy expenditure of the network; at network layer, routing is done through uniform clusters; at MAC layer, each sensor node of the cluster is assigned fixed or variable time slots and at physical layer different member of the clusters is assigned different modulation techniques. MATLAB simulation proved substantial network lifetime gains.
为了延长电池驱动无线传感器网络的网络寿命,我们将传感区域划分为均匀的簇,并在簇的不同成员处实施异构调制方案。为了降低网络的总能量消耗,提出了一种跨层优化方法;在网络层,路由通过统一的集群完成;在MAC层,集群的每个传感器节点被分配固定或可变时隙,在物理层,集群的不同成员被分配不同的调制技术。MATLAB仿真证明了显著的网络寿命增益。
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引用次数: 12
Single User MAC Level Throughput Comparision: IEEE 802.11ax vs. IEEE 802.11ac 单用户MAC级别吞吐量比较:IEEE 802.11ax与IEEE 802.11ac
Pub Date : 2017-05-25 DOI: 10.4236/WSN.2017.95009
O. Sharon, Yaron Alpert
With the ever-increasing range of video and audio applications in portable handheld devices, demand for high throughput in Wi-Fi networks is escalating. In this paper we introduce several novel features defined in next generation WLAN, termed as IEEE 802.11ax standard, and compare between the maximum throughputs received in IEEE 802.11ax and IEEE 802.11ac in a scenario where the AP continuously transmits to one station in the Single User mode. The comparison is done as a function of the modulation/coding schemes in use. In IEEE 802.11ax we consider two levels of frame aggregation. IEEE 802.11ax outperforms IEEE 802.11ac by about 29% and 48% in reliable and unreliable channels respectively.
随着便携式手持设备中视频和音频应用范围的不断扩大,对Wi-Fi网络中高吞吐量的需求也在不断升级。在本文中,我们介绍了下一代WLAN(称为IEEE 802.11ax标准)中定义的几个新功能,并比较了在AP以单用户模式连续向一个站发送的情况下,IEEE 802.11ax和IEEE 802.11ac中接收到的最大吞吐量。该比较是作为所使用的调制/编码方案的函数来进行的。在IEEE 802.11ax中,我们考虑两个级别的帧聚合。IEEE 802.11ax在可靠和不可靠信道方面分别比IEEE 802.11ac高出约29%和48%。
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引用次数: 20
A Novel Cluster Based Time Synchronization Technique for Wireless Sensor Networks 一种新的基于集群的无线传感器网络时间同步技术
Pub Date : 2017-05-25 DOI: 10.4236/wsn.2017.95008
Gopal Chand Gautam, N. Chand
Time synchronization is one of the important aspects in wireless sensor networks. Time synchronization assures that all the sensor nodes in wireless sensor network have the same clock time. There are various applications such as seismic study, military applications, pollution monitoring where sensor nodes require synchronized time. Time synchronization is mandatory for many wireless sensor networks protocols such as MAC protocols and also important for TDMA scheduling for proper duty cycle coordination. Time synchronization is a stimulating problem in wireless sensor networks because each node has its own local clock which keeps on varying due to variation in the oscillator frequency. The oscillator frequency is time varying due to ambient conditions which leads to re-synchronization of nodes time and again. This re-synchronization process is energy consuming whereas energy is constraints in WSN. This paper proposes a novel cluster based time synchronization technique for wireless sensor networks in which cluster head rotation is based on minimum clock offset. Simulation results based on energy analysis of the proposed model demonstrate that proposed novel cluster based time synchronization technique reduces the energy consumption and also the synchronization error compared with other existing protocols.
时间同步是无线传感器网络中的一个重要方面。时间同步保证了无线传感器网络中所有传感器节点具有相同的时钟时间。有各种应用,如地震研究、军事应用、污染监测,其中传感器节点需要同步时间。时间同步对于诸如MAC协议的许多无线传感器网络协议是强制性的,并且对于用于适当的占空比协调的TDMA调度也是重要的。在无线传感器网络中,时间同步是一个令人兴奋的问题,因为每个节点都有自己的本地时钟,由于振荡器频率的变化,本地时钟一直在变化。振荡器频率由于环境条件而随时间变化,这导致节点一次又一次地重新同步。这种重新同步过程是消耗能量的,而能量是WSN中的约束。本文提出了一种新的基于簇的无线传感器网络时间同步技术,其中簇头旋转基于最小时钟偏移。基于对所提出模型的能量分析的仿真结果表明,与其他现有协议相比,所提出的新的基于集群的时间同步技术降低了能量消耗和同步误差。
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引用次数: 2
Single Mobile Sink Based Energy Efficiency and Fast Data Gathering Protocol for Wireless Sensor Networks 基于单移动Sink的无线传感器网络能量效率和快速数据采集协议
Pub Date : 2017-04-28 DOI: 10.4236/WSN.2017.94007
Shivkumar S. Jawaligi, G. Biradar
Recently, the exponential rise in communication system demands has motivated global academia-industry to develop efficient communication technologies to fulfill energy efficiency and Quality of Service (QoS) demands. Wireless Sensor Network (WSN) being one of the most efficient technologies possesses immense potential to serve major communication purposes including civil, defense and industrial purposes etc. The inclusion of sensor-mobility with WSN has broadened application horizon. The effectiveness of WSNs can be characterized by its ability to perform efficient data gathering and transmission to the base station for decision process. Clustering based routing scheme has been one of the dominating techniques for WSN systems; however key issues like, cluster formation, selection of the number of clusters and cluster heads, and data transmission decision from sensors to the mobile sink have always been an open research area. In this paper, a robust and energy efficient single mobile sink based WSN data gathering protocol is proposed. Unlike existing approaches, an enhanced centralized clustering model is developed on the basis of expectation-maximization (EEM) concept. Further, it is strengthened by using an optimal cluster count estimation technique that ensures that the number of clusters in the network region doesn’t introduce unwanted energy exhaustion. Meanwhile, the relative distance between sensor node and cluster head as well as mobile sink is used to make transmission (path) decision. Results exhibit that the proposed EEM based clustering with optimal cluster selection and optimal dynamic transmission decision enables higher throughput, fast data gathering, minima delay and energy consumption, and higher efficiency
近年来,通信系统需求呈指数级增长,促使全球学术界和工业界开发高效的通信技术,以满足能源效率和服务质量(QoS)的需求。无线传感器网络(WSN)作为最高效的通信技术之一,在民用、国防和工业等主要通信领域具有巨大的潜力。传感器移动性与无线传感器网络的结合,拓宽了其应用领域。无线传感器网络的有效性可以通过其高效的数据采集和传输到基站进行决策的能力来表征。基于聚类的路由方案一直是无线传感器网络系统的主流技术之一;然而,簇的形成、簇数和簇头的选择以及从传感器到移动接收器的数据传输决策等关键问题一直是一个开放的研究领域。提出了一种鲁棒节能的基于单移动sink的WSN数据采集协议。与现有方法不同,基于期望最大化(EEM)的概念,提出了一种增强的集中式聚类模型。此外,它通过使用最优簇数估计技术来加强,该技术确保网络区域中的簇数不会引入不必要的能量耗尽。同时,利用传感器节点与簇头之间的相对距离以及移动接收器之间的相对距离进行传输(路径)决策。结果表明,基于EEM的最优聚类选择和最优动态传输决策的聚类具有更高的吞吐量、更快的数据采集速度、最小的延迟和能耗以及更高的效率
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引用次数: 10
期刊
无线传感网络(英文)
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