Adaptive Aggregation of Voice Over IP in Wireless Mesh Networks
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A Letter to the FCC [PDF]
Before the FEDERAL COMMUNICATIONS COMMISSION Washington, DC 20554 In the Matter of ) ) Amendment of Part 0, 1, 2, 15 and 18 of the ) ET Docket No. 15170 Commission’s Rules regarding Authorization ) Of Radio frequency Equipment ) ) Request for the Allowance of Optional ) RM11673 Electronic Labeling for Wireless Devices ) Summary The rules laid out in ET Docket No. 15170 should not go into effect as written. They would cause more harm than good and risk a significant overreach of the Commission’s authority. Specifically, the rules would limit the ability to upgrade or replace firmware in commercial, offtheshelf home or smallbusiness routers. This would damage the compliance, security, reliability and functionality of home and business networks. It would also restrict innovation and research into new networking technologies. We present an alternate proposal that better meets the goals of the FCC, not only ensuring the desired operation of the RF portion of a WiFi router within the mandated parameters, but also assisting in the FCC’s broader goals of increasing consumer choice, fostering competition, protecting infrastructure, and increasing resiliency to communication disruptions. If the Commission does not intend to prohibit the upgrade or replacement of firmware in WiFi devices, the undersigned would welcome a clear statement of that intent. Introduction We recommend the FCC pursue an alternative path to ensuring Radio Frequency (RF) compliance from WiFi equipment. We understand there are significant concerns regarding existing users of the WiFi spectrum, and a desire to avoid uncontrolled change. However, we most strenuously advise against prohibiting changes to firmware of devices containing radio components, and furthermore advise against allowing nonupdatable devices into the field. -
Report on Existing Community Networks and Their Organization
Ref. Ares(2016)5891410 - 12/10/2016 Horizon 2020 Project title: Network Infrastructure as Commons Report on Existing Community Networks and their Organization Deliverable number: D1.2 Version 1.0 Co-Funded by the Horizon 2020 programme of the European Union Grant Number 688768 Project Acronym: netCommons Project Full Title: Network Infrastructure as Commons. Call: H2020-ICT-2015 Topic: ICT-10-2015 Type of Action: RIA Grant Number: 688768 Project URL: http://netcommons.eu Editor: Leandro Navarro, Universitat Politecnica` de Catalunya (UPC) Deliverable nature : Report (R) Dissemination level: Public (PU) Contractual Delivery Date: September 30, 2016 Actual Delivery Date: October 12, 2016 Number of pages: 104 (excluding covers) Keywords: Community Networks, Organizational models, Commons, Common-Pool Resources, Sustainability, Adaptability Authors: Leandro Navarro - Roger Baig, UPC Felix Freitag - Emmanouil Dimogerontakis, UPC Felix´ Treguer´ - Melanie´ Dulong de Rosnay, ISCC CNRS Leonardo Maccari, UniTN Panagiota Micholia, AUEB Panayotis Antoniadis, Nethood Peer review: Merkouris Karaliopoulos, AUEB Renato Lo Cigno, UniTN Executive Summary This deliverable is devoted to build a homogeneous mapping of the Community Networks netCom- mons is working (or intends to work) with in Europe, plus a general overview of the many facets of the Community Network concept around the world, with the goal of providing a sort of taxonomy plus a rough global quantification of the phenomenon. For the development of the analysis framework we have worked in close collaboration with a few of the Community Networks (CNs) that are most representative and more relevant, one way or another, to the netCommons project. This report builds on and extends D1.1 (M6) with further elements of commons theory, more details and coverage of additional CNs, a mapping of CN web sites to show the inter-relations among them, a typology of international CNs, and a expanded taxonomy for comparison and typology. -
Cooperation in Open, Decentralized, and Heterogeneous Computer Networks
Cooperation in Open, Decentralized, and Heterogeneous Computer Networks Axel Neumann PhD Thesis by the Universitat Polit`ecnicade Catalunya Advisors: Leandro Navarro Llorenc¸Cerda-Alabern` Barcelona, Spain 2017 Cooperation in Open, Decentralized, and Heterogeneous Computer Networks. September 2017. Axel Neumann [email protected] Computer Networks and Distributed Systems Group Universitat Polit`ecnicade Catalunya Jordi Girona 1-3 C6, D6 08034 - Barcelona, Spain This dissertation is available on-line at the Theses and Dissertations On-line (TDX) repository, which is coordinated by the Consortium of Academic Libraries of Catalonia (CBUC) and the Supercomputing Centre of Catalonia Consortium (CESCA), by the Catalan Ministry of Universities, Research and the Information Society. The TDX repository is a member of the Networked Digital Library of Theses and Dissertations (NDLTD) which is an international organisation dedicated to promoting the adoption, creation, use, dissemination and preservation of electronic analogues to the traditional paper-based theses and dissertations This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/4.0/ or send a letter to Creative Commons, 171 Second Street, Suite 300, San Francisco, California, 94105, USA. Acknowledgments I am so much grateful to my advisors, Leandro Navarro and Lloren¸cCerd`a-Alabern. Without their endless patience, guidance and support, this work would simply have been impossible. I would like to thank all the people and communities that stimulated and inspired this work Roger Baig (Guifi.net), Pau Escrich (Guifi.net, Libremesh.org), Roger P. Centelles (Guifi.net), Agusti Moll (Guifi.net), Thank you for all the dedication brought up for the idea of community networks. -
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. -
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. -
Demystifying the Performance of Bluetooth Mesh: Experimental Evaluation and Optimization
Demystifying the Performance of Bluetooth Mesh: Experimental Evaluation and Optimization Adnan Aijaz, Aleksandar Stanoev, Dominic London, and Victor Marot Bristol Research and Innovation Laboratory, Toshiba Europe Ltd., Bristol, United Kingdom fi[email protected] Abstract—Mesh connectivity is attractive for Internet-of- Advertising bearer GATT bearer Model Layer Advertising bearer (not relayed) Things (IoT) applications from various perspectives. The recent Foundation Model Layer Friendship messaging Bluetooth mesh specification provides a full-stack mesh net- Access Layer working solution, potentially for thousands of nodes. Although Node Bluetooth mesh has been adopted for various IoT applications, its Upper Transport Layer Relay node performance aspects are not extensively investigated in literature. Lower Transport Layer This paper provides an experimental evaluation of Bluetooth Friend node Network Layer mesh (using Nordic nRF52840 devices) with an emphasis on those Bearer Layer Low power node aspects which are not well-investigated in literature. Such aspects BLE Core Specification include evaluation of unicast and group modes, performance under different traffic patterns, impact of message segmentation, Fig. 1. System architecture and protocol stack of Bluetooth mesh. and most importantly, latency performance for perfect reliability. The paper also investigates performance enhancement of Blue- Despite growing success of Bluetooth mesh in industry, tooth mesh based on different techniques including parametric academic studies on its performance aspects portray a mixed adjustments, extended advertisements (introduced in Bluetooth 5.0), power control, and customized relaying. Results provide picture. One simulation-based study [3] identifies scalability insights into system-level performance of Bluetooth mesh while as its main limitation. Another study following analytic ap- clarifying various important issues identified in recent studies. -
Zigbee Mesh Network Performance
AN1138: Zigbee Mesh Network Performance This application note details methods for testing Zigbee mesh network performance. With an increasing number of mesh networks available in today’s wireless market, it is KEY POINTS important for designers to understand the different use cases among these networks and their expected performances. When selecting a network or device, designers need • Wireless test network in Silicon Labs to know the network’s performance and behavior characteristics, such as battery life, Research and Development (R&D) is network throughput and latency, and the impact of network size on scalability and relia- described. bility. • Wireless conditions and environments are evaluated. This application note demonstrates how the Zigbee mesh network differs in perform- ance and behavior from other mesh networks. Tests were conducted using Silicon • Mesh network performance including throughput, latency, and large network Labs’ Zigbee Mesh software stacks and the Wireless Gecko SoC platform capable of scalability is presented. running Zigbee Mesh and Proprietary protocols. The test environment was a commer- cial office building with active Wi-Fi and Zigbee networks in range. Wireless test clus- ters were deployed in hallways, meeting rooms, offices, and open areas. The method- ology for performing the benchmarking tests is defined so that others may run the same tests. These results are intended to provide guidance on design practices and principles as well as expected field performance results. Additional performance benchmarking information for other technologies is available at http://www.silabs.com/mesh-performance. silabs.com | Building a more connected world. Rev. 0.3 AN1138: Zigbee Mesh Network Performance Introduction and Background 1. -
Wi-Fi® Mesh Networks: Discover New Wireless Paths
Wi-Fi® mesh networks: Discover new wireless paths Victor Asovsky WiLink™ 8 System Engineer Yaniv Machani WiLink 8 Software Team Leader Texas Instruments Table of Contents Abstract ...................................................................................................1 Introduction .............................................................................................1 Mesh network use case .........................................................................2 General capabilities ...............................................................................2 Range extension use case .....................................................................3 AP offloading use case ..........................................................................3 Wi-Fi mesh key features ........................................................................4 Homogenous ........................................................................................4 Self-forming ...........................................................................................4 Dynamic path selection .........................................................................4 Self-healing ...........................................................................................5 Possible issues in mesh networking ......................................................6 WLAN mesh deployment considerations .............................................7 Number of hops ....................................................................................7 -
Simulating a City-Scale Community Network: from Models to First Improvements for Freifunk
Simulating a City-Scale Community Network: From Models to First Improvements for Freifunk Tobias Hardes, Falko Dressler and Christoph Sommer Distributed Embedded Systems Group, Dept. of Computer Science, University of Paderborn, Germany {tobias.hardes,dressler,sommer}@ccs-labs.org Abstract—Community networks establish a wireless mesh In this paper, we focus on the Freifunk community network network among citizens, providing a network that is independent, initiative, which is composed of a few hundred local commu- free, and (in some cases) available where regular Internet access nities, each serving from few dozens to thousands of nodes. In is not. Following initial disappointments with their performance and availability, they are currently experiencing a second spring. particular, we concentrate on the Freifunk community network Many of these networks are growing fast, but with little planning composed of approximately 800 routers (nodes) in the city and limited oversight. Problems mostly manifest as limited of Paderborn. This community network, like most Freifunk scalability of the network – as has happened in the Freifunk networks, employs the Batman [5] protocol (specifically, mesh network operating in the city of Paderborn (approx. 800 BATMAN IV) to operate its mesh network and allows anyone to nodes running the BATMAN IV protocol with control messages alone accounting for 25 GByte per month and node). In this join as a user, simply by connecting their laptop to a Freifunk work, we detail how we modeled this real-life network in a node via WiFi. Like many, it suffered from scalability problems. computer simulation as a way of allowing rapid (and worry We tackle the investigation of these problems by providing a free) experimentation with maximum insight. -
Decentralized Administration Concepts for Wireless Community Mesh Networks
Decentralized administration concepts for wireless community mesh networks Thomas Huehn‡ ‡Deutsche Telekom Laboratories, TU Berlin, Berlin, Germany {[email protected]} Abstract—The lack of widely available broadband internet mesh network has two main clouds per village with a high access available in all parts of Germany was the main motivation density of nodes running all on the same channel, channel to build community mesh networks to share ADSL lines. As many 1 (2412 GHz) in 802.11g-only mode. All mesh nodes are are unable to easily obtain an ADSL line, we built a wireless mesh network covering our two home villages. Singe we began, we equipped with an omni-directional antenna mounted to be have included 60 households running their own 802.11 wireless outside of the roof. A singe ADSL line, serving 6000 kBit/sec routers based on commodity hardware on rooftops within the downstream and 520 kBit/sec upstream, is the only Internet unlicensed 2,4 GHz frequency band. But how would someone gateway we are currently using and sharing between us. The administrate such a network consisting of 60 different ”micro” Fig. 1 represents the topology snapshot from 28th of April 09 providers without having a central administration instance? This paper describes the mechanisms that make our decentralized based on OLSR [2] routing table calculations. administration concept a trust-based, efficient, and scalable so- lution for community mesh networks. We then describe the main concepts of how to deploy new OpenWRT based firmware-images in a decentralized manner. We then detail the most challenging aspect of the project, granting access for mobile devices among the entire mesh distributed among the node owners. -
Investigation and Performance Optimization of Mesh Networking in Zigbee
Periodicals of Engineering and Natural Sciences ISSN 2303-4521 Vol. 8, No. 2, June 2020, pp.790-801 Investigation and performance optimization of mesh networking in Zigbee Essa Ibrahim Essa1, Mshari A. Asker2, Fidan T. Sedeeq3 1Department of Networks, College of Computer Science and Information Technology, University of Kirkuk 2 Departement of Computer Science, College of Computer Science and Mathematics, Tikrit University 3 Department of Electrical Engineering, College of Engineering, University of Kirkuk ABSTRACT The aim of this research paper is to perform a detailed investigation and performance optimization of mesh networking in Zigbee. ZigBee applications are open and global wireless technology that are based on IEEE 802.15.4 standard, it is used for sense and control in many fields like, military, commercial, industrial and medical applications. Extending ZigBee lifetime is a high demand in many ZigBee networks industry and applications, and since the lifetime of ZigBee nodes depends mainly on batteries for their power, the desire for developing a scheme or methodology that support power management and saving battery lifetime is of a great requirement. In this research work, a power sensitive routing Algorithm is proposed Power Sensitive Ad hoc On-Demand (PS-AODV) to develop protocol scheme and methodology of existing on-demand routing protocols, by introducing an algorithm that manages ZigBee operations and construct the route from trusted active nodes. Furthermore, many aspects of routing protocol in ZigBee mesh networks have been researched to concentrate on route discovery, route maintenance, neighbouring table, and shortest paths. PS-AODV routing algorithm is used in two different ZigBee mesh networks, with two different coordinator locations, one used at the centre and the other one at the corner of the networks.