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Introduce basic concepts and highlights of Wireless mesh Networks (1)

Wireless mesh networks are emerging wireless networks. It is quite different from the well-known WLAN. This article will introduce the features and advantages of the Wireless mesh Network in detail. Hope to help you. A wireless mesh network consists of meshrouters routers and meshclients clients. meshrouters forms a backbone network and is connected to a wired internet network to provide multi-hop Wireless

Brief Introduction to applications of hierarchical wireless Ad-hoc Networks

I have introduced the basic knowledge about wireless Ad-hoc Networks, key technologies, protocols, and so on. I will not repeat it here. Next, we will introduce the applications of layered wireless Ad-hoc networks. I hope this article will give you some knowledge about hierarchical wireless Ad-hoc networks. Application of hierarchical wireless Ad-hoc Network As a

Development of Fixed Wireless Access Networks

Fixed Wireless Access networks are still very mainstream access technologies. Many people may not know about fixed wireless access networks. It does not matter. After reading this article, you will certainly have a lot of GAINS. I hope this article will teach you more things, will have a comprehensive understanding of the application of the Fixed Wireless Access Network. I. advantageous applications of Fixe

MSA: Key Technology for future evolution of Wireless Networks

With the continuous development of wireless networks, multi-Stream Aggregation (MSA, Multiple Stream Aggregation) can improve the edge throughput by 500% through deep fusion of Multi-standard, multi-carrier and multi-layer networks, realizing the concept of borderless networks enables users to enjoy high-speed and stable data access services wherever they are on

Deep learning Note (i) convolutional neural network (convolutional neural Networks)

I. Convolutionconvolutional Neural Networks (convolutional neural Networks) are neural networks that share parameters spatially. Multiply by using a number of layers of convolution, rather than a matrix of layers. In the process of image processing, each picture can be regarded as a "pancake", which includes the height of the picture, width and depth (that is, co

[Paper Interpretation] CNN Network visualization--visualizing and understanding convolutional Networks

OverviewAlthough the CNN deep convolution network in the field of image recognition has achieved significant results, but so far people to why CNN can achieve such a good effect is unable to explain, and can not put forward an effective network promotion strategy. Using the method of Deconvolution visualization in this paper, the author discovers some problems of alexnet, and makes some improvements on the basis of alexnet, so that the network achieves better results than alexnet. At the same ti

Brocade unified physical and virtual networks for on-demand data centers

Brocade (Nasdaq: BRCD), a leading provider of data center networks and matrix solutions, launched a strategy that comprehensively combines the advantages of physical and virtual networks, it helps improve business agility, reduce complexity, and upgrade virtualization to a new level. Brocade's On-Demand Data Center™"Strategy is another major evolution to promote the development of a highly virtualized, open

Main functions of smart switches in intelligent networks

Smart switches are still quite common. So I studied the main role of smart switches in intelligent networks. I would like to share with you here, hoping they will be useful to you. The fundamental purpose of intelligence is to make the network more humane, so that the network can better serve people. Currently, traditional telephone and data transmission services are more developed. However, to make full use of the huge potential and role of the netwo

Deep Learning 23:dropout Understanding _ Reading Paper "Improving neural networks by preventing co-adaptation of feature detectors"

theoretical knowledge : Deep learning: 41 (Dropout simple understanding), in-depth learning (22) dropout shallow understanding and implementation, "improving neural networks by preventing Co-adaptation of feature detectors "Feel there is nothing to say, should be said in the citation of the two blog has been made very clear, direct test itNote :1. During the testing phase of the model, the output of the hidden layer is obtained by using "mean network"

Introduction to neural networks (serialization II)

. AI technology in game programming. .(Serialization II) 3Digital neural networks (the digital version) We have seen that the biological brain is composed of many neural cells. Similarly, the artificial neural network ANN that simulates the brain is composed of many artificial neural cells (Artificial Neuron, also known as artificial neurons, or artificial neurons. Artificial neural cells are like a simplified version of real neural cel

Selection of VPN technology solutions for IP private networks

At present, IP wide area networks in some industries are in a historical period of transition from private networks in a single industry to unified service platforms in multiple industries, how to provide a logically isolated, secure, and reliable Virtual Private Network for various industries has become a technical problem that must be addressed in network transformation. Application background IP Wide Are

Lossless assurance of virtual networks-zOVN, virtual lossless-zovn

Lossless assurance of virtual networks-zOVN, virtual lossless-zovn Note:ZVALEThis is also an article published by the IBM Research Institute, which may be an extension of VALE. Currently, the data center network is dominated by two trends. One is for Lossless layer-2 fabrics, which is based on enhanced Ethernet and infiniband, by improving performance and performance. On the other hand, it is based onSoftware Defined NetworkThis makes it possible for

Think twice! Uncover the hidden risks of Wireless Networks

or use multimedia applications, which requires a solution with higher performance. Therefore, your organization is subject to the decision to migrate to 802.11n. Therefore, consider your needs and select the right technology from the very beginning. RF interference Some devices, such as 2.4 GHz and 5 GHz cordless phones, microwave ovens, and adjacent wireless networks, can cause destructive RF interference and reduce the performance of wireless

The Uni-RAN solution supports the evolution of Heterogeneous Networks

Heterogeneous NetworksIn the process of integration, ZTE is based on the SDR Soft Base Station TechnologyThe Uni-RAN solution is fully qualifiedIt is widely recognized by more operators and has become a mainstream network construction model. Accelerating multi-network collaboration The coexistence of 2G/3G/WLAN/LTE and other networks has become a trend. With the introduction of Iot/sensor networks and the d

How to select and use 802.11n networks more effectively

. Although all vendors claim that they can reach the maximum rate, they do not specify the 20 MHz or 40 MHz band. This is an important factor, Finneran adds, because it determines the bandwidth and the number of available channels. Another important difference is that different vendors provide different types of management software. You can make appropriate choices based on your own needs. "Some of them have very good address survey tools and planning tools, and others have very good interfaces

Notes on emerging technologies of optical fiber access networks

There are many things worth learning about the optical fiber access network. Here we will mainly introduce notes on emerging technologies of optical fiber access networks. At present, the world's optical fiber copper withdrawal has become a trend in the Construction of optical fiber access networks. The FTTx Access Network Based on PON technology not only needs to carry businesses with higher bandwidth, but

Stability of wireless networks (1)

I have introduced the basic knowledge and security of wireless networks in the previous articles. This article describes the security of wireless networks. This article analyzes the location of wireless devices and the interference of wireless signals, and hopes to help you. I. Stability of wireless networks: What is stability? That is to say, the signal should c

Congestion Control in computing networks: problems and trends

, mainly because it may lead to invalid use of network resources. 2.The use of high-speed links does not solve the congestion problem, but increases the need for congestion control. Because all high-speed networks are connected to low-speed networks, and as the number of high-speed networks increases, the low-speed networks

GAF-based MAC protocol for Wireless Sensor Networks

A wireless sensor network consists of a large number of low-cost micro-sensor nodes deployed in the monitoring area. A multi-hop self-organizing network system is formed through wireless communication, it is mainly used to collect, disseminate, and process sensing information. Unlike traditional wireless self-organizing networks, wireless sensor networks have a large number of nodes and are densely distribu

Electromagnetic interference shielding technology and application in Wireless Networks

1. Intrusion Detection System (IDS) At present, wireless networks (or wireless LAN, that is, WLAN) use the IEEE802.11b standard in a unified manner. On the physical layer, IEEE802.11b uses a wireless frequency of 2 to 45 GHz and the maximum bit rate reaches l1Mbps, use Direct Sequence Spread Spectrum (DSSS) transmission technology. On the MAC Sub-layer of the data link layer, 802.11b uses the "CSMA/CA" Media Access Control (MAC) protocol. Because WLAN

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