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Optimal Hop Lengths to Ensure Minimum Energy Consumption in Wireless Sensor Networks 无线传感器网络中保证最小能量消耗的最佳跳长
Pub Date : 2018-10-01 DOI: 10.4018/IJTD.2018100101
Mekkaoui Kheireddine, Rahmoun Abdellatif
In wireless sensor networks, nodes have a low computing capacity, a small antenna and a very limited energy source; thereby batteries are considered as a critical resource and should be used efficiently. On the other hand, the antennas are the biggest consumers of energy, therefore, and their use must be very efficient to minimize energy consumption. In a dense WSN, each node may route messages to destination nodes either through short-hops or long-hops, by using a short or a long radio range. Thus, the hop length optimization can save energy. In this article, the authors propose a theorem to optimize the hop lengths and a routing algorithm to improve the WSN power consumption. The theorem establishes a simple condition to ensure the optimal hop lengths which guarantees the minimum energy consumption. And the proposed algorithm based on that condition is used to find the optimal routing path. The simulation results are obtained by applying the condition and the algorithm on WSNs and reveals a high performance regarding WSNs energy consumption and network lifetime.
在无线传感器网络中,节点的计算能力低,天线小,能量非常有限;因此,电池被认为是一种重要的资源,应该有效地利用。另一方面,天线是最大的能源消耗者,因此,它们的使用必须非常高效,以尽量减少能源消耗。在密集WSN中,每个节点可以通过短跳或长跳,通过使用短或长无线电范围将消息路由到目标节点。因此,跳长优化可以节省能量。在本文中,作者提出了一个优化跳长定理和一种路由算法来提高无线传感器网络的功耗。该定理建立了保证能量消耗最小的最优跳长的简单条件。在此基础上,利用所提算法求出最优路由路径。将该条件和算法应用于无线传感器网络的仿真结果表明,该算法在无线传感器网络能耗和网络寿命方面具有较高的性能。
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引用次数: 1
Contribution to the Optimization of the Energy Consumption in SDN Networks 对SDN网络能耗优化的贡献
Pub Date : 2018-09-29 DOI: 10.4236/JST.2018.83005
L. Kra, Yake Gondo, Bi Tra Goore, O. Asseu
With the advent of new technologies such as IoT (Internet of Things) and Big Data, the increase in users and their different communications have led to a significant increase in energy consumption in network equipment. A new networking technology called SDN (Software Defined Network) is born. It aims to make network management easier. The SDN consists of decoupling the control plane that is the brain, the data plane or the muscles of the network. It allows the programmability of network devices and also the redirection of flows. One or more centralized controllers use algorithms to act remotely on network devices. Because of its operation, this new technology offers opportunities to improve network performance and optimize energy consumption. In this paper, we will use this technology (SDN) to suspend links or routers when they are not used while taking into account the congestion that degrades the quality of service in the network. We have formulated this problem as a linear integer program and proposed algorithms to process it in normal period and peak period. We have used the OMNET ++ simulator to evaluate our algorithms. Thus, our approach showed that 87.5% of ports and 33.33% of links could be shut down to save energy.
随着物联网(IoT)、大数据等新技术的出现,用户数量的增加及其通信方式的不同,导致网络设备能耗显著增加。一种名为SDN(软件定义网络)的新型网络技术诞生了。它的目的是使网络管理更容易。SDN包括对控制平面(即大脑)、数据平面或网络肌肉的解耦。它允许网络设备的可编程性以及流的重定向。一个或多个集中式控制器使用算法对网络设备进行远程操作。由于它的运行,这项新技术为提高网络性能和优化能耗提供了机会。在本文中,我们将使用该技术(SDN)在链路或路由器不使用时暂停它们,同时考虑到网络中降低服务质量的拥塞。我们将该问题表述为线性整数规划,并提出了在正常期和峰值期处理该问题的算法。我们已经使用omnet++模拟器来评估我们的算法。因此,我们的方法表明,87.5%的端口和33.33%的链路可以关闭以节省能源。
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引用次数: 4
温度/湿度/光强多参数测量仪研制 温度/湿度/光强多参数测量仪研制
Pub Date : 2018-09-28 DOI: 10.12677/JSTA.2018.64014
蓝德高, 赵晓锋
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引用次数: 0
Angular Position Estimation of an Inverted Pendulum Using Low-Cost IMUs 基于低成本imu的倒立摆角位置估计
Pub Date : 2018-09-10 DOI: 10.12691/ajst-5-1-1
D. Aoyagi, Sukgi Choi
Seeking an affordable solution to measure a bicycle’s roll angle, we came across an Inertial Measurement Unit (IMU) BNO055 by Bosch, which contains 3-axis accelerometer, gyroscope, and magnetometer, and is advertised to produce “absolute orientation” by a built-in proprietary “Fusion” algorithm. We found another low-cost IMU, an MPU-9250 from InvenSense, which could also calculate absolute orientation via embedded Fusion software. Being unable to find information about dynamic characteristics of these IMUs in their datasheets, we sought to evaluate them under dynamic conditions, specifically in the estimation of roll angle. We constructed an inverted pendulum as a model of a bicycle, mounted both IMUs on it, and attached a potentiometer to measure actual angular position for reference. Additionally, as an alternative to the proprietary Fusion algorithms, we devised and implemented an Extended Kalman Filter, which, we hypothesized, would perform better than the proprietary Fusion algorithms, because our algorithm incorporated the kinematics of the inverted pendulum while the Fusion algorithm of the IMUs did not. In a series of experiments, we observed a significant time lag, about 0.05-0.1 second, in BNO055’s raw acceleration and gyro signals. The BNO055’s Fusion responded with similar lag and an offset of 0.5-3°; we also noticed rather unpredictable fluctuation in the output signals, possibly due to its “automatic calibration” feature, which cannot be disabled. The MPU-9250 exhibited better performance than the BNO055 in terms of raw acceleration signals and, particularly, gyro signals. The MPU-9250’s Fusion performed somewhat better than BNO055’s, typically showing lag of 0.03-0.06 sec and static offset of 0.5-1°. Our implementation of Kalman Filter based on MPU-9250 raw signal performed better than either Fusion algorithm, with about 0.02-0.03 second lag and 0.5-1° offset, supporting our hypothesis. Our next step is to experiment on an actual bicycle in motion.
在寻找一种经济实惠的解决方案来测量自行车的滚动角度时,我们遇到了博世的惯性测量单元(IMU) BNO055,它包含3轴加速度计,陀螺仪和磁力计,并通过内置专有的“Fusion”算法来产生“绝对方向”。我们找到了另一个低成本的IMU, InvenSense的MPU-9250,它也可以通过嵌入式Fusion软件计算绝对方向。由于无法在这些imu的数据表中找到有关其动态特性的信息,我们试图在动态条件下对其进行评估,特别是在估计滚转角时。我们构造了一个倒立摆作为自行车的模型,在倒立摆上安装了两个imu,并附加了一个电位器来测量实际的角度位置以供参考。此外,作为专有融合算法的替代方案,我们设计并实现了一个扩展卡尔曼滤波器,我们假设该滤波器的性能优于专有融合算法,因为我们的算法包含了倒立摆的运动学,而imu的融合算法没有。在一系列实验中,我们观察到BNO055的原始加速度和陀螺仪信号存在明显的时间滞后,大约为0.05-0.1秒。BNO055的聚变反应也有类似的滞后和0.5-3°的偏移;我们还注意到输出信号的波动相当不可预测,可能是由于它的“自动校准”功能,无法关闭。MPU-9250在原始加速度信号方面表现出比BNO055更好的性能,特别是陀螺仪信号。MPU-9250的Fusion性能略好于BNO055,通常显示0.03-0.06秒的滞后和0.5-1°的静态偏移。我们基于MPU-9250原始信号实现的卡尔曼滤波比两种融合算法表现更好,延迟约0.02-0.03秒,偏移约0.5-1°,支持我们的假设。我们的下一步是在一辆运动中的自行车上进行实验。
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引用次数: 0
基于STM32单片机的车载酒精检测系统设计Design of Vehicle Alcohol Detection System Based on STM32 Design of Vehicle Alcohol Detection System Based on STM32 Microcontroller
Pub Date : 2018-07-04 DOI: 10.12677/JSTA.2018.63012
丁泽源, 吴传秀, 何军平, 宋永献, 王经卓, 毕训银
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引用次数: 1
EEA
Pub Date : 2018-07-01 DOI: 10.4018/ijwnbt.2018070102
Hassan El Alami, A. Najid
The data communication task, in wireless sensor networks (WSNs), is a major issue of high energy consumption. A hierarchical design based on a clustering algorithm is one of the approaches to manage the data communication and save energy in WSNs. However, most of the previous approaches based on clustering algorithms have not considered the length of the data communication path, which is a direct relation to energy consumption in WSNs. In this article, a novel scheme of a clustering algorithm has been proposed for reducing the data communication distance in WSNs. Hierarchical routing protocols were implemented for homogeneous and heterogeneous networks. The results show that the proposed scheme is more efficient than other protocols.
在无线传感器网络中,数据通信任务是一个高能耗的主要问题。基于聚类算法的分层设计是实现无线传感器网络数据通信管理和节能的途径之一。然而,以往大多数基于聚类算法的方法都没有考虑数据通信路径的长度,而这与无线传感器网络的能耗有直接关系。本文提出了一种新的聚类算法方案,以缩短无线传感器网络中的数据通信距离。在同构和异构网络中实现了分层路由协议。结果表明,该方案比其他协议效率更高。
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引用次数: 20
Adaptive Cluster Head Selection Scheme for High Mobility Based IEEE 802.15.6 Wireless Body Area Networks 基于高移动性IEEE 802.15.6无线体域网的自适应簇头选择方案
Pub Date : 2018-06-14 DOI: 10.4236/JST.2018.82003
Anthony Mile, G. Okeyo, Ann Kibe
Due to the development in the field of Wireless Sensor Networks (WSNs), its major application, Wireless Body Area Network (WBAN) has presently become a major area of interest for the developers and researchers. Efficient sensor nodes data collection is the key feature of any effective wireless body area network. Prioritizing nodes and cluster head selection schemes plays an important role in WBAN. Human body exhibits postural mobility which affects distances and connections between different sensor nodes. In this context, we propose maximum consensus based cluster head selection scheme, which allows cluster head selection by using Link State. Nodal priority through transmission power is also introduced to make WBAN more effective. This scheme results in reduced mean power consumption and also reduces network delay. A comparison with IEEE 802.15.6 based CSMA/CA protocol with different locations of cluster head is presented in this paper. These results show that our proposed scheme outperforms Random Cluster head selection, Fixed Cluster head at head, Foot and Belly positions in terms of mean power consumption, network delay, network throughput and bandwidth efficiency.
由于无线传感器网络(WSNs)领域的发展,其主要应用无线体域网络(WBAN)目前已成为开发人员和研究人员感兴趣的主要领域。高效的传感器节点数据采集是任何有效的无线体域网络的关键特征。节点优先排序和簇头选择方案在无线宽带网络中起着重要的作用。人体表现出体位能动性,影响不同传感器节点之间的距离和连接。在这种情况下,我们提出了基于最大共识的簇头选择方案,该方案允许使用链路状态进行簇头选择。同时引入了通过传输功率确定节点优先级的方法,使无线宽带网络更加有效。该方案不仅降低了平均功耗,还降低了网络延迟。本文比较了不同簇头位置下基于IEEE 802.15.6的CSMA/CA协议。这些结果表明,我们提出的方案在平均功耗、网络延迟、网络吞吐量和带宽效率方面优于随机簇头选择、固定簇头在头部、脚和腹部位置。
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引用次数: 2
Data Prediction in Distributed Sensor Networks Using Adam Bashforth Moulton Method 基于Adam Bashforth Moulton方法的分布式传感器网络数据预测
Pub Date : 2018-06-14 DOI: 10.4236/JST.2018.82004
Monirul Islam, Zabir Al Nazi, A. Hossain, M. Rana
Information collection from remote location is very important for several tasks such as temperate monitoring, air quality investigation, and wartime surveillance. Wireless sensor network is the first choice to complete these types of tasks. Basically, information prediction scheme is an important feature in any sensor nodes. The efficiency of the sensor network can be improved to large extent with a suitable information prediction scheme. Previously, there were several efforts to resolve this problem, but their accuracy is decreased as the prediction threshold reduces to a small value. Our proposed Adams-Bashforth-Moulton algorithm to overcome this drawback was compared with the Milne Simpson scheme. The proposed algorithm is simulated on distributed sensor nodes where information is gathered from the Intel Berkeley Research Laboratory. To maximize the power saving in wireless sensor network, our adopted method achieves the accuracy of 60.28 and 59.2238 for prediction threshold of 0.01 for Milne Simpson and Adams-Bashforth-Moulton algorithms, respectively.
从远程位置收集信息对于温度监测、空气质量调查和战时监视等任务非常重要。无线传感器网络是完成这类任务的首选。基本上,信息预测方案是任何传感器节点的一个重要特征。采用合适的信息预测方案,可以在很大程度上提高传感器网络的效率。以前,有几种方法可以解决这个问题,但随着预测阈值降低到一个小值,它们的精度降低了。我们提出的Adams-Bashforth-Moulton算法克服了这一缺点,并与Milne Simpson方案进行了比较。该算法在分布式传感器节点上进行了仿真,这些节点的信息收集来自英特尔伯克利研究实验室。为了最大限度地节省无线传感器网络的功耗,我们采用的方法在Milne Simpson和Adams-Bashforth-Moulton算法的预测阈值为0.01的情况下,准确率分别达到60.28和59.2238。
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引用次数: 6
A Quadrilateral Prism of Self-invisibility 自隐身四边形棱镜
Pub Date : 2018-05-15 DOI: 10.12691/AJVD-4-1-2
Yizong He
A hollow quadrilateral prism consists of four rigid right triangular prisms laid asymmetrically in a V-like shape. Each triangular prism has a base face which is an obtuse scalene triangle, and the front and rear lateral faces are covered with a reflective material of visible light. The front and rear lateral faces of the four right triangular prisms face each other forming an asymmetrical channel between them, which is filled with a transparent material. The hollow quadrilateral prism reflects incident light in sequence by the reflective lateral faces of right triangular prisms. It is configured to make a good portion of the frame invisible to the driver of an automobile and renders driving safer and more comfortable.
空心四边形棱镜由四个非对称放置的V形刚性直角三角形棱镜组成。每个三棱柱都有一个钝的不等边三角形的基面,前侧面和后侧面覆盖着可见光的反射材料。四个直角三角形棱镜的前侧面和后侧面彼此面对,在它们之间形成不对称通道,该通道填充有透明材料。中空四边形棱镜通过右三角棱镜的反射侧面依次反射入射光。它被配置为使汽车驾驶员看不到车架的大部分,并使驾驶更安全、更舒适。
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引用次数: 0
无线传感器网络QOS-QOE节能优化模型QOS-QOE Energy Saving Optimization Model for Wireless Sensor Networks 无线传感器网络QOS-QOE节能优化模型QOS-QOE Energy Saving Optimization Model for Wireless Sensor Networks
Pub Date : 2018-04-11 DOI: 10.12677/JSTA.2018.62006
侯义斌
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引用次数: 2
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传感技术(英文)
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