Bluetooth Mesh Networking
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Network Topologies Topologies
Network Topologies Topologies Logical Topologies A logical topology describes how the hosts access the medium and communicate on the network. The two most common types of logical topologies are broadcast and token passing. In a broadcast topology, a host broadcasts a message to all hosts on the same network segment. There is no order that hosts must follow to transmit data. Messages are sent on a First In, First Out (FIFO) basis. Token passing controls network access by passing an electronic token sequentially to each host. If a host wants to transmit data, the host adds the data and a destination address to the token, which is a specially-formatted frame. The token then travels to another host with the destination address. The destination host takes the data out of the frame. If a host has no data to send, the token is passed to another host. Physical Topologies A physical topology defines the way in which computers, printers, and other devices are connected to a network. The figure provides six physical topologies. Bus In a bus topology, each computer connects to a common cable. The cable connects one computer to the next, like a bus line going through a city. The cable has a small cap installed at the end called a terminator. The terminator prevents signals from bouncing back and causing network errors. Ring In a ring topology, hosts are connected in a physical ring or circle. Because the ring topology has no beginning or end, the cable is not terminated. A token travels around the ring stopping at each host. -
~DRAFT~ CHAPTER 5: Link Layer
~DRAFT~ CHAPTER 5: Link layer Contents Network notes – Link layer ..................................................................................................................... 1 1 Context of Chapter .................................................................................................................. 2 2 Introduction ............................................................................................................................. 2 3 Objectives of Chapter/module ................................................................................................ 3 4 Services of the link layer ......................................................................................................... 4 5 Error detection ........................................................................................................................ 4 a. Parity check ............................................................................................................................. 4 b. Cyclic Redundancy Check ...................................................................................................... 5 6 Error Correction ...................................................................................................................... 5 7 MAC ....................................................................................................................................... 6 a. Fixed assigned MAC .............................................................................................................. -
Networking Packet Broadcast Storms
Lesson Learned Networking Packet Broadcast Storms Primary Interest Groups Balancing Authorities (BAs) Generator Operators (GOPs) Reliability Coordinators (RCs) Transmission Operators (TOPs) Transmission Owners (TOs) that own and operate an Energy Management System (EMS) Problem Statement When a second network cable was connected from a voice over internet protocol (VOIP) phone to a network switch lacking proper settings, a packet broadcast storm prevented network communications from functioning, and supervisory control and data acquisition (SCADA) was lost for several hours. Broadcast storm events have also arisen from substation local area network (LAN) issues. Details A conference room was set up for a training class that needed to accommodate multiple PCs. The bridge protocol data unit (BPDU) packet propagation prevention setting was disabled on a port in the conference room in order to place a network switch off of that port. Upon completion of the training, the network switch was removed; however, the BPDU packet propagation setting was inadvertently not restored. As part of a telephone upgrade project, the traditional phone in this conference room was recently replaced by a VOIP phone. Later, an additional network cable was connected to the output port of this VOIP phone into a secondary network jack within the conference room. When the second network cable was connected from a VOIP phone to a network switch lacking proper settings, a switching loop resulted. Spanning tree protocol is normally used to prevent switching loops from propagating broadcast packets continuously until the network capacity is overwhelmed. A broadcast packet storm from the switching loop prevented network communications from functioning and SCADA was lost for several hours. -
Topological Optimisation of Artificial Neural Networks for Financial Asset
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by LSE Theses Online The London School of Economics and Political Science Topological Optimisation of Artificial Neural Networks for Financial Asset Forecasting Shiye (Shane) He A thesis submitted to the Department of Management of the London School of Economics for the degree of Doctor of Philosophy. April 2015, London 1 Declaration I certify that the thesis I have presented for examination for the MPhil/PhD degree of the London School of Economics and Political Science is solely my own work other than where I have clearly indicated that it is the work of others (in which case the extent of any work carried out jointly by me and any other person is clearly identified in it). The copyright of this thesis rests with the author. Quotation from it is permitted, provided that full acknowledgement is made. This thesis may not be reproduced without the prior written consent of the author. I warrant that this authorization does not, to the best of my belief, infringe the rights of any third party. 2 Abstract The classical Artificial Neural Network (ANN) has a complete feed-forward topology, which is useful in some contexts but is not suited to applications where both the inputs and targets have very low signal-to-noise ratios, e.g. financial forecasting problems. This is because this topology implies a very large number of parameters (i.e. the model contains too many degrees of freedom) that leads to over fitting of both signals and noise. -
DTC Offers Enhanced MANET Mesh Networking
DOMO TACTICAL COMMUNICATIONS DTC Offers Enhanced MANET Mesh Networking Rob Garth, Product Director, Domo Tactical Communications (DTC) talks to Soldier Modernisation about MANET Mesh Networks and the technology behind them actical MANET Mesh networks have become MANET Mesh Networks are also seamlessly self-healing a key part of the battlefield communications - if a node is removed or a link is broken, for example due Tpicture, most notably in solving the “Dismounted to interference or the introduction of a large obstacle, then Situational Awareness” challenge - delivering media the Mesh will try and re-route via another path. For a dense and data rich applications as well as video to and from cluster of nodes, this can provide significant redundancy and the dismounted soldier. Mesh networks have many resilience. But Garth notes “This is not magic. The resilience advantages over traditional military communications achieved is dependant very much on network topology - if systems, not least in their ease of configuration, ease of for example nodes are arranged in a long line, with each link deployment and in-built resilience. operating at the extreme of its range, and the node in the But as Rob Garth, Product Director at Domo Tactical middle is taken out then connectivity between the two ends Communications (DTC) notes “Mesh networks are resilient of the line will be lost.” and very tolerant to poor deployment, however to get the But when it comes to resilience, not all Mesh networks most out of the Mesh it is important to understand a little are the same - some are reliant on a central “Master Node” about the technology so that the right equipment can be or “Mobility Controller” to disseminate routing and path chosen and sensible deployment decisions can be made.” quality information, which can lead to a single point of MANET Mesh networks share some key characteristics: failure. -
Hybrid Wireless Mesh Network, Worldwide Satellite Communication, and PKI Technology for Small Satellite Network System
Hybrid Wireless Mesh Network, Worldwide Satellite Communication, and PKI Technology for Small Satellite Network System A project present to The Faculty of the Department of Aerospace Engineering San Jose State University in partial fulfillment of the requirements for the degree Master of Science in Aerospace Engineering By Stephen S. Im May 2015 approved by Dr. Periklis Papadopoulos Faculty Advisor 1 ©2015 Stephen S. Im ALL RIGHTS RESERVED 2 An Abstract of Hybrid Wireless Mesh Network, Worldwide Satellite Communication, and PKI Technology for Small Satellite Network System by Stephen S. Im1 San Jose State University May 2015 Small satellites are getting the spotlight in the aerospace industry because this earth- orbiting technology is well-suited for use in military service, space mission research, weather prediction, wireless communication, scientific observation, and education demonstration. Small satellites have advantages of low cost of manufacturing, ease of mass production, low cost of launch system, ability to be launched in groups, and minimal financial failure. Until now, a number of the small satellites have been built and launched for various purposes. As network simplification, operation efficiency, communication accessibility, and high-end data security are the fundamental communication factors for small satellite operations, a standardized space network communication with strong data protection has become a significant technology. This is also highly beneficial for mass manufacture, compatible for cross-platform, and common error detection. And the ground-based network technologies which fulfill Internet-of-Things (IOT) concept, which consist of Wireless Mesh Network (WMN) and data security, are presented in this paper. 1 Graduate Student, San Jose State University, One Washington Square, San Jose, CA. -
Networking Solutions for Connecting Bluetooth Low Energy Devices - a Comparison
292 3 MATEC Web of Conferences , 0200 (2019) https://doi.org/10.1051/matecconf/201929202003 CSCC 2019 Networking solutions for connecting bluetooth low energy devices - a comparison 1,* 1 1 2 Mostafa Labib , Atef Ghalwash , Sarah Abdulkader , and Mohamed Elgazzar 1Faculty of Computers and Information, Helwan University, Egypt 2Vodafone Company, Egypt Abstract. The Bluetooth Low Energy (BLE) is an attractive solution for implementing low-cost, low power consumption, short-range wireless transmission technology and high flexibility wireless products,which working on standard coin-cell batteries for years. The original design of BLE is restricted to star topology networking, which limits network coverage and scalability. In contrast, other competing technologies like Wi-Fi and ZigBee overcome those constraints by supporting different topologies such as the tree and mesh network topologies. This paper presents a part of the researchers' efforts in designing solutions to enable BLE mesh networks and implements a tree network topology which is not supported in the standard BLE specifications. In addition, it discusses the advantages and drawbacks of the existing BLE network solutions. During analyzing the existing solutions, we highlight currently open issues such as flooding-based and routing-based solutions to allow end-to-end data transmission in a BLE mesh network and connecting BLE devices to the internet to support the Internet of Things (IoT). The approach proposed in this paper combines the default BLE star topology with the flooding based mesh topology to create a new hybrid network topology. The proposed approach can extend the network coverage without using any routing protocol. Keywords: Bluetooth Low Energy, Wireless Sensor Network, Industrial Wireless Mesh Network, BLE Mesh Network, Direct Acyclic Graph, Time Division Duplex, Time Division Multiple Access, Internet of Things. -
Application of Ethernet Networking Devices Used for Protection and Control Applications in Electric Power Substations
Application of Ethernet Networking Devices Used for Protection and Control Applications in Electric Power Substations Report of Working Group P6 of the Power System Communications and Cybersecurity Committee of the Power and Energy Society of IEEE September 12, 2017 1 IEEE PES Power System Communications and Cybersecurity Committee (PSCCC) Working Group P6, Configuring Ethernet Communications Equipment for Substation Protection and Control Applications, has existed during the course of report development as Working Group H12 of the IEEE PES Power System Relaying Committee (PSRC). The WG designation changed as a result of a recent IEEE PES Technical Committee reorganization. The membership of H12 and P6 at time of approval voting is as follows: Eric A. Udren, Chair Benton Vandiver, Vice Chair Jay Anderson Galina Antonova Alex Apostolov Philip Beaumont Robert Beresh Christoph Brunner Fernando Calero Christopher Chelmecki Thomas Dahlin Bill Dickerson Michael Dood Herbert Falk Didier Giarratano Roman Graf Christopher Huntley Anthony Johnson Marc LaCroix Deepak Maragal Aaron Martin Roger E. Ray Veselin Skendzic Charles Sufana John T. Tengdin 2 IEEE PES PSCCC P6 Report, September 2017 Application of Ethernet Networking Devices Used for Protection and Control Applications in Electric Power Substations Table of Contents 1. Introduction ...................................................................................... 10 2. Ethernet for protection and control .................................................. 10 3. Overview of Ethernet message -
Optimizing the Topology of Bluetooth Wireless Personal Area Networks Marco Ajmone Marsan, Carla F
Optimizing the Topology of Bluetooth Wireless Personal Area Networks Marco Ajmone Marsan, Carla F. Chiasserini, Antonio Nucci, Giuliana Carello, Luigi De Giovanni Abstract— In this paper, we address the problem of determin- ing an optimal topology for Bluetooth Wireless Personal Area Networks (BT-WPANs). In BT-WPANs, multiple communication channels are available, thanks to the use of a frequency hopping technique. The way network nodes are grouped to share the same channel, and which nodes are selected to bridge traffic from a channel to another, has a significant impact on the capacity and the throughput of the system, as well as the nodes’ battery life- time. The determination of an optimal topology is thus extremely important; nevertheless, to the best of our knowledge, this prob- lem is tackled here for the first time. Our optimization approach is based on a model derived from constraints that are specific to the BT-WPAN technology, but the level of abstraction of the model is such that it can be related to the slave slave & bridge more general field of ad hoc networking. By using a min-max for- mulation, we find the optimal topology that provides full network master master & bridge connectivity, fulfills the traffic requirements and the constraints posed by the system specification, and minimizes the traffic load of Fig. 1. BT-WPAN topology. the most congested node in the network, or equivalently its energy consumption. Results show that a topology optimized for some traffic requirements is also remarkably robust to changes in the traffic pattern. Due to the problem complexity, the optimal so- Master and slaves send and receive traffic alternatively, so as lution is attained in a centralized manner. -
A Framework for Wireless Broadband Network for Connecting the Unconnected
A Framework for Wireless Broadband Network for Connecting the Unconnected Meghna Khaturia, Prasanna Chaporkar and Abhay Karandikar Department of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai-400076 Email: fmeghnak,chaporkar,[email protected] Abstract—A significant barrier in providing affordable rural providing broadband in rural areas of India. Ashwini [6] broadband is to connect the rural and remote places to the optical and Aravind [7] are some other examples of rural network Point of Presence (PoP) over a distances of few kilometers. A testbeds deployed in India. Hop-Scotch is a long distance Wi- lot of work has been done in the area of long distance Wi- Fi networks. However, these networks require tall towers and Fi network based in UK [8]. LinkNet is a 52 node wireless high gain (directional) antennas. Also, they work in unlicensed network deployed in Zambia [9]. Also, there has been a band which has Effective Isotropically Radiated Power (EIRP) substantial research interest in designing the long distance Wi- limit (e.g. 1 W in India) which restricts the network design. In Fi based mesh networks for rural areas [10]–[12]. All these this work, we propose a Long Term Evolution-Advanced (LTE- efforts are based on IEEE 802.11 standard [13] in unlicensed A) network operating in TV UHF to connect the remote areas to the optical PoP. In India, around 100 MHz of TV UHF band i.e. 2:4 GHz or 5:8 GHz. When working with these band IV (470-585 MHz) is unused at any location and can frequency bands over a long distance point to point link, be put to an effective use in these areas [1]. -
Etsi Tr 103 495 V1.1.1 (2017-02)
ETSI TR 103 495 V1.1.1 (2017-02) TECHNICAL REPORT Network Technologies (NTECH); Automatic network engineering for the self-managing Future Internet (AFI); Autonomicity and Self-Management in Wireless Ad-hoc/Mesh Networks: Autonomicity-enabled Ad-hoc and Mesh Network Architectures 2 ETSI TR 103 495 V1.1.1 (2017-02) Reference DTR/NTECH-AFI-0018-GANA-MESH Keywords architecture, autonomic networking, self-management, wireless ad-hoc network, wireless mesh network ETSI 650 Route des Lucioles F-06921 Sophia Antipolis Cedex - FRANCE Tel.: +33 4 92 94 42 00 Fax: +33 4 93 65 47 16 Siret N° 348 623 562 00017 - NAF 742 C Association à but non lucratif enregistrée à la Sous-Préfecture de Grasse (06) N° 7803/88 Important notice The present document can be downloaded from: http://www.etsi.org/standards-search The present document may be made available in electronic versions and/or in print. The content of any electronic and/or print versions of the present document shall not be modified without the prior written authorization of ETSI. In case of any existing or perceived difference in contents between such versions and/or in print, the only prevailing document is the print of the Portable Document Format (PDF) version kept on a specific network drive within ETSI Secretariat. Users of the present document should be aware that the document may be subject to revision or change of status. Information on the current status of this and other ETSI documents is available at https://portal.etsi.org/TB/ETSIDeliverableStatus.aspx If you find errors in the present document, please send your comment to one of the following services: https://portal.etsi.org/People/CommiteeSupportStaff.aspx Copyright Notification No part may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying and microfilm except as authorized by written permission of ETSI. -
Spectral Analysis of the Adjacency Matrix of Random Geometric Graphs
Spectral Analysis of the Adjacency Matrix of Random Geometric Graphs Mounia Hamidouche?, Laura Cottatellucciy, Konstantin Avrachenkov ? Departement of Communication Systems, EURECOM, Campus SophiaTech, 06410 Biot, France y Department of Electrical, Electronics, and Communication Engineering, FAU, 51098 Erlangen, Germany Inria, 2004 Route des Lucioles, 06902 Valbonne, France [email protected], [email protected], [email protected]. Abstract—In this article, we analyze the limiting eigen- multivariate statistics of high-dimensional data. In this case, value distribution (LED) of random geometric graphs the coordinates of the nodes can represent the attributes of (RGGs). The RGG is constructed by uniformly distribut- the data. Then, the metric imposed by the RGG depicts the ing n nodes on the d-dimensional torus Td ≡ [0; 1]d and similarity between the data. connecting two nodes if their `p-distance, p 2 [1; 1] is at In this work, the RGG is constructed by considering a most rn. In particular, we study the LED of the adjacency finite set Xn of n nodes, x1; :::; xn; distributed uniformly and matrix of RGGs in the connectivity regime, in which independently on the d-dimensional torus Td ≡ [0; 1]d. We the average vertex degree scales as log (n) or faster, i.e., choose a torus instead of a cube in order to avoid boundary Ω (log(n)). In the connectivity regime and under some effects. Given a geographical distance, rn > 0, we form conditions on the radius rn, we show that the LED of a graph by connecting two nodes xi; xj 2 Xn if their `p- the adjacency matrix of RGGs converges to the LED of distance, p 2 [1; 1] is at most rn, i.e., kxi − xjkp ≤ rn, the adjacency matrix of a deterministic geometric graph where k:kp is the `p-metric defined as (DGG) with nodes in a grid as n goes to infinity.