Self Organizing Networks

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Self-Organizing Networks

Juan Ramiro,Khalid Hamied
Self Organizing Networks Book PDF

Author : Juan Ramiro,Khalid Hamied
Publisher : John Wiley & Sons
Page : 283 pages
File Size : 55,9 Mb
Release : 2011-10-27
Category : Technology & Engineering
ISBN : 9781119960928

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Self-Organizing Networks by Juan Ramiro,Khalid Hamied Pdf

With the current explosion in network traffic, and mounting pressure on operators’ business case, Self-Organizing Networks (SON) play a crucial role. They are conceived to minimize human intervention in engineering processes and at the same time improve system performance to maximize Return-on-Investment (ROI) and secure customer loyalty. Written by leading experts in the planning and optimization of Multi-Technology and Multi-Vendor wireless networks, this book describes the architecture of Multi-Technology SON for GSM, UMTS and LTE, along with the enabling technologies for SON planning, optimization and healing. This is presented mainly from a technology point of view, but also covers some critical business aspects, such as the ROI of the proposed SON functionalities and Use Cases. Key features: Follows a truly Multi-Technology approach: covering not only LTE, but also GSM and UMTS, including architectural considerations of deploying SON in today’s GSM and UMTS networks Features detailed discussions about the relevant trade-offs in each Use Case Includes field results of today’s GSM and UMTS SON implementations in live networks Addresses the calculation of ROI for Multi-Technology SON, contributing to a more complete and strategic view of the SON paradigm This book will appeal to network planners, optimization engineers, technical/strategy managers with operators and R&D/system engineers at infrastructure and software vendors. It will also be a useful resource for postgraduate students and researchers in automated wireless network planning and optimization.

Self-Organizing Neural Networks

Udo Seiffert
Self Organizing Neural Networks Book PDF

Author : Udo Seiffert
Publisher : Physica
Page : 289 pages
File Size : 41,6 Mb
Release : 2013-11-11
Category : Computers
ISBN : 9783790818109

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Self-Organizing Neural Networks by Udo Seiffert Pdf

The Self-Organizing Map (SOM) is one of the most frequently used architectures for unsupervised artificial neural networks. Introduced by Teuvo Kohonen in the 1980s, SOMs have been developed as a very powerful method for visualization and unsupervised classification tasks by an active and innovative community of interna tional researchers. A number of extensions and modifications have been developed during the last two decades. The reason is surely not that the original algorithm was imperfect or inad equate. It is rather the universal applicability and easy handling of the SOM. Com pared to many other network paradigms, only a few parameters need to be arranged and thus also for a beginner the network leads to useful and reliable results. Never theless there is scope for improvements and sophisticated new developments as this book impressively demonstrates. The number of published applications utilizing the SOM appears to be unending. As the title of this book indicates, the reader will benefit from some of the latest the oretical developments and will become acquainted with a number of challenging real-world applications. Our aim in producing this book has been to provide an up to-date treatment of the field of self-organizing neural networks, which will be ac cessible to researchers, practitioners and graduated students from diverse disciplines in academics and industry. We are very grateful to the father of the SOMs, Professor Teuvo Kohonen for sup porting this book and contributing the first chapter.

Security of Self-Organizing Networks

Al-Sakib Khan Pathan
Security of Self Organizing Networks Book PDF

Author : Al-Sakib Khan Pathan
Publisher : CRC Press
Page : 638 pages
File Size : 42,9 Mb
Release : 2016-04-19
Category : Computers
ISBN : 1439819203

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Security of Self-Organizing Networks by Al-Sakib Khan Pathan Pdf

Reflecting recent advancements, Security of Self-Organizing Networks: MANET, WSN, WMN, VANET explores wireless network security from all angles. It begins with a review of fundamental security topics and often-used terms to set the foundation for the following chapters. Examining critical security issues in a range of wireless networks, the book proposes specific solutions to security threats. Ideal for those with a basic understanding of network security, the text provides a clear examination of the key aspects of security in self-organizing networks and other networks that use wireless technology for communications. The book is organized into four sections for ease of reference: General Topics—Security of Wireless and Self-Organizing Networks Mobile Ad-Hoc Network and Vehicular Ad-Hoc Network Security Wireless Sensor Network Security Wireless Mesh Network Security Highlighting potential threats to network security, most chapters are written in a tutorial manner. However, some of the chapters include mathematical equations and detailed analysis for advanced readers. Guiding you through the latest trends, issues, and advances in network security, the text includes questions and sample answers in each chapter to reinforce understanding.

LTE Self-Organising Networks (SON)

Seppo Hämäläinen,Henning Sanneck,Cinzia Sartori
LTE Self Organising Networks SON Book PDF

Author : Seppo Hämäläinen,Henning Sanneck,Cinzia Sartori
Publisher : John Wiley & Sons
Page : 437 pages
File Size : 40,5 Mb
Release : 2012-01-30
Category : Technology & Engineering
ISBN : 9781119970675

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LTE Self-Organising Networks (SON) by Seppo Hämäläinen,Henning Sanneck,Cinzia Sartori Pdf

Covering the key functional areas of LTE Self-Organising Networks (SON), this book introduces the topic at an advanced level before examining the state-of-the-art concepts. The required background on LTE network scenarios, technologies and general SON concepts is first given to allow readers with basic knowledge of mobile networks to understand the detailed discussion of key SON functional areas (self-configuration, -optimisation, -healing). Later, the book provides details and references for advanced readers familiar with LTE and SON, including the latest status of 3GPP standardisation. Based on the defined next generation mobile networks (NGMN) and 3GPP SON use cases, the book elaborates to give the full picture of a SON-enabled system including its enabling technologies, architecture and operation. ”Heterogeneous networks” including different cell hierarchy levels and multiple radio access technologies as a new driver for SON are also discussed. Introduces the functional areas of LTE SON (self-optimisation, -configuration and –healing) and its standardisation, also giving NGMN and 3GPP use cases Explains the drivers, requirements, challenges, enabling technologies and architectures for a SON-enabled system Covers multi-technology (2G/3G) aspects as well as core network and end-to-end operational aspects Written by experts who have been contributing to the development and standardisation of the LTE self-organising networks concept since its inception Examines the impact of new network architectures (“Heterogeneous Networks”) to network operation, for example multiple cell layers and radio access technologies

Pattern Recognition by Self-organizing Neural Networks

Gail A. Carpenter,Stephen Grossberg
Pattern Recognition by Self organizing Neural Networks Book PDF

Author : Gail A. Carpenter,Stephen Grossberg
Publisher : MIT Press
Page : 724 pages
File Size : 44,5 Mb
Release : 1991
Category : Computers
ISBN : 0262031760

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Pattern Recognition by Self-organizing Neural Networks by Gail A. Carpenter,Stephen Grossberg Pdf

Pattern Recognition by Self-Organizing Neural Networks presentsthe most recent advances in an area of research that is becoming vitally important in the fields ofcognitive science, neuroscience, artificial intelligence, and neural networks in general. The 19articles take up developments in competitive learning and computational maps, adaptive resonancetheory, and specialized architectures and biological connections. Introductorysurvey articles provide a framework for understanding the many models involved in various approachesto studying neural networks. These are followed in Part 2 by articles that form the foundation formodels of competitive learning and computational mapping, and recent articles by Kohonen, applyingthem to problems in speech recognition, and by Hecht-Nielsen, applying them to problems in designingadaptive lookup tables. Articles in Part 3 focus on adaptive resonance theory (ART) networks,selforganizing pattern recognition systems whose top-down template feedback signals guarantee theirstable learning in response to arbitrary sequences of input patterns. In Part 4, articles describeembedding ART modules into larger architectures and provide experimental evidence fromneurophysiology, event-related potentials, and psychology that support the prediction that ARTmechanisms exist in the brain. Contributors: J.-P. Banquet, G.A. Carpenter, S.Grossberg, R. Hecht-Nielsen, T. Kohonen, B. Kosko, T.W. Ryan, N.A. Schmajuk, W. Singer, D. Stork, C.von der Malsburg, C.L. Winter.

Towards Cognitive Autonomous Networks

Stephen S. Mwanje,Christian Mannweiler
Towards Cognitive Autonomous Networks Book PDF

Author : Stephen S. Mwanje,Christian Mannweiler
Publisher : John Wiley & Sons
Page : 560 pages
File Size : 53,9 Mb
Release : 2020-10-02
Category : Technology & Engineering
ISBN : 9781119586401

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Towards Cognitive Autonomous Networks by Stephen S. Mwanje,Christian Mannweiler Pdf

Learn about the latest in cognitive and autonomous network management Towards Cognitive Autonomous Networks: Network Management Automation for 5G and Beyond delivers a comprehensive understanding of the current state-of-the-art in cognitive and autonomous network operation. Authors Mwanje and Bell fully describe today's capabilities while explaining the future potential of these powerful technologies. This book advocates for autonomy in new 5G networks, arguing that the virtualization of network functions render autonomy an absolute necessity. Following that, the authors move on to comprehensively explain the background and history of large networks, and how we come to find ourselves in the place we're in now. Towards Cognitive Autonomous Networks describes several novel techniques and applications of cognition and autonomy required for end-to-end cognition including: • Configuration of autonomous networks • Operation of autonomous networks • Optimization of autonomous networks • Self-healing autonomous networks The book concludes with an examination of the extensive challenges facing completely autonomous networks now and in the future.

Self-Organizing Maps

Teuvo Kohonen
Self Organizing Maps Book PDF

Author : Teuvo Kohonen
Publisher : Springer Science & Business Media
Page : 372 pages
File Size : 50,8 Mb
Release : 2012-12-06
Category : Science
ISBN : 9783642976100

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Self-Organizing Maps by Teuvo Kohonen Pdf

The book we have at hand is the fourth monograph I wrote for Springer Verlag. The previous one named "Self-Organization and Associative Mem ory" (Springer Series in Information Sciences, Volume 8) came out in 1984. Since then the self-organizing neural-network algorithms called SOM and LVQ have become very popular, as can be seen from the many works re viewed in Chap. 9. The new results obtained in the past ten years or so have warranted a new monograph. Over these years I have also answered lots of questions; they have influenced the contents of the present book. I hope it would be of some interest and help to the readers if I now first very briefly describe the various phases that led to my present SOM research, and the reasons underlying each new step. I became interested in neural networks around 1960, but could not in terrupt my graduate studies in physics. After I was appointed Professor of Electronics in 1965, it still took some years to organize teaching at the uni versity. In 1968 - 69 I was on leave at the University of Washington, and D. Gabor had just published his convolution-correlation model of autoasso ciative memory. I noticed immediately that there was something not quite right about it: the capacity was very poor and the inherent noise and crosstalk were intolerable. In 1970 I therefore sugge~ted the auto associative correlation matrix memory model, at the same time as J.A. Anderson and K. Nakano.

Computational Science and Its Applications - ICCSA 2014

Beniamino Murgante,Sanjay Misra,Ana Maria Alves Coutinho Rocha,Carmelo Torre,Jorge Gustavo Rocha,Maria Irene Falcão,David Taniar,Bernady O. Apduhan,Osvaldo Gervasi
Computational Science and Its Applications ICCSA 2014 Book PDF

Author : Beniamino Murgante,Sanjay Misra,Ana Maria Alves Coutinho Rocha,Carmelo Torre,Jorge Gustavo Rocha,Maria Irene Falcão,David Taniar,Bernady O. Apduhan,Osvaldo Gervasi
Publisher : Springer
Page : 808 pages
File Size : 54,5 Mb
Release : 2014-07-02
Category : Computers
ISBN : 9783319091563

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Computational Science and Its Applications - ICCSA 2014 by Beniamino Murgante,Sanjay Misra,Ana Maria Alves Coutinho Rocha,Carmelo Torre,Jorge Gustavo Rocha,Maria Irene Falcão,David Taniar,Bernady O. Apduhan,Osvaldo Gervasi Pdf

The six-volume set LNCS 8579-8584 constitutes the refereed proceedings of the 14th International Conference on Computational Science and Its Applications, ICCSA 2014, held in Guimarães, Portugal, in June/July 2014. The 347 revised papers presented in 30 workshops and a special track were carefully reviewed and selected from 1167. The 289 papers presented in the workshops cover various areas in computational science ranging from computational science technologies to specific areas of computational science such as computational geometry and security.

Impact Networks

David Ehrlichman
Impact Networks Book PDF

Author : David Ehrlichman
Publisher : Berrett-Koehler Publishers
Page : 187 pages
File Size : 54,7 Mb
Release : 2021-10-12
Category : Business & Economics
ISBN : 9781523091706

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Impact Networks by David Ehrlichman Pdf

This practical guide shows how to facilitate collaboration among diverse individuals and organizations to navigate complexity and create change in our interconnected world. The social and environmental challenges we face today are not only complex, they are also systemic and structural and have no obvious solutions. They require diverse combinations of people, organizations, and sectors to coordinate actions and work together even when the way forward is unclear. Even so, collaborative efforts often fail because they attempt to navigate complexity with traditional strategic plans, created by hierarchies that ignore the way people naturally connect. By embracing a living-systems approach to organizing, impact networks bring people together to build relationships across boundaries; leverage the existing work, skills, and motivations of the group; and make progress amid unpredictable and ever-changing conditions. As a powerful and flexible organizing system that can span regions, organizations, and silos of all kinds, impact networks underlie some of the most impressive and large-scale efforts to create change across the globe. David Ehrlichman draws on his experience as a network builder; interviews with dozens of network leaders; and insights from the fields of network science, community building, and systems thinking to provide a clear process for creating and developing impact networks. Given the increasing complexity of our society and the issues we face, our ability to form, grow, and work through networks has never been more essential.

Numerical Algorithms for Personalized Search in Self-organizing Information Networks

Sep Kamvar
Numerical Algorithms for Personalized Search in Self organizing Information Networks Book PDF

Author : Sep Kamvar
Publisher : Princeton University Press
Page : 156 pages
File Size : 47,7 Mb
Release : 2010-09-07
Category : Computers
ISBN : 9781400837069

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Numerical Algorithms for Personalized Search in Self-organizing Information Networks by Sep Kamvar Pdf

This book lays out the theoretical groundwork for personalized search and reputation management, both on the Web and in peer-to-peer and social networks. Representing much of the foundational research in this field, the book develops scalable algorithms that exploit the graphlike properties underlying personalized search and reputation management, and delves into realistic scenarios regarding Web-scale data. Sep Kamvar focuses on eigenvector-based techniques in Web search, introducing a personalized variant of Google's PageRank algorithm, and he outlines algorithms--such as the now-famous quadratic extrapolation technique--that speed up computation, making personalized PageRank feasible. Kamvar suggests that Power Method-related techniques ultimately should be the basis for improving the PageRank algorithm, and he presents algorithms that exploit the convergence behavior of individual components of the PageRank vector. Kamvar then extends the ideas of reputation management and personalized search to distributed networks like peer-to-peer and social networks. He highlights locality and computational considerations related to the structure of the network, and considers such unique issues as malicious peers. He describes the EigenTrust algorithm and applies various PageRank concepts to P2P settings. Discussion chapters summarizing results conclude the book's two main sections. Clear and thorough, this book provides an authoritative look at central innovations in search for all of those interested in the subject.

Optimization Problems in Self-Organizing Networks

Steffen Wolf
Optimization Problems in Self Organizing Networks Book PDF

Author : Steffen Wolf
Publisher : Logos Verlag Berlin GmbH
Page : 278 pages
File Size : 52,6 Mb
Release : 2010
Category : Computers
ISBN : 9783832526610

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Optimization Problems in Self-Organizing Networks by Steffen Wolf Pdf

Modern computer networks or wireless ad-hoc networks offer a wide range of interesting optimization problems. Usual optimization goals are the minimization of the message delay in a Peer-to-Peer system or the minimization of the energy consumption of a wireless network. This thesis presents different kinds of algorithms to solve such optimization problems. Starting from the mathematical formulations for these problems, various global view optimization algorithms are presented. These algorithms are based on evolutionary algorithms and local search or similar heuristics. They can be used to quickly find near-optimal solutions, if a global view of the network is possible. As the participants in a computer network or a wireless ad-hoc network are autonomous nodes, distributed algorithms can be designed that enable these nodes to collectively solve the optimization problem. Four distributed algorithms are formulated and evaluated in this thesis, thus laying grounds for distributed optimization of networks. Using these algorithms, the network can be modelled as a self-optimizing network and the optimization problem can be approached without global view.

Engineering Self-Organising Systems

Sven A. Brueckner,Giovanna Di Marzo Serugendo,Anthony Karageorgos,Radhika Nagpal
Engineering Self Organising Systems Book PDF

Author : Sven A. Brueckner,Giovanna Di Marzo Serugendo,Anthony Karageorgos,Radhika Nagpal
Publisher : Springer
Page : 300 pages
File Size : 47,5 Mb
Release : 2005-05-18
Category : Computers
ISBN : 9783540319016

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Engineering Self-Organising Systems by Sven A. Brueckner,Giovanna Di Marzo Serugendo,Anthony Karageorgos,Radhika Nagpal Pdf

Self-organisation, self-regulation, self-repair, and self-maintenance are promising conceptual approaches to deal with the ever increasing complexity of distributed interacting software and information handling systems. Self-organising applications are able to dynamically change their functionality and structure without direct user intervention to respond to changes in requirements and the environment. This book comprises revised and extended papers presented at the International Workshop on Engineering Self-Organising Applications, ESOA 2004, held in New York, NY, USA in July 2004 at AAMAS as well as invited papers from leading researchers. The papers are organized in topical sections on state of the art, synthesis and design methods, self-assembly and robots, stigmergy and related topics, and industrial applications.

Self-Organization in Sensor and Actor Networks

Falko Dressler
Self Organization in Sensor and Actor Networks Book PDF

Author : Falko Dressler
Publisher : John Wiley & Sons
Page : 386 pages
File Size : 43,6 Mb
Release : 2008-03-11
Category : Technology & Engineering
ISBN : 0470724455

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Self-Organization in Sensor and Actor Networks by Falko Dressler Pdf

Self-Organization in Sensor and Actor Networks explores self-organization mechanisms and methodologies concerning the efficient coordination between intercommunicating autonomous systems.Self-organization is often referred to as the multitude of algorithms and methods that organise the global behaviour of a system based on inter-system communication. Studies of self-organization in natural systems first took off in the 1960s. In technology, such approaches have become a hot research topic over the last 4-5 years with emphasis upon management and control in communication networks, and especially in resource-constrained sensor and actor networks. In the area of ad hoc networks new solutions have been discovered that imitate the properties of self-organization. Some algorithms for on-demand communication and coordination, including data-centric networking, are well-known examples. Key features include: Detailed treatment of self-organization, mobile sensor and actor networks, coordination between autonomous systems, and bio-inspired networking. Overview of the basic methodologies for self-organization, a comparison to central and hierarchical control, and classification of algorithms and techniques in sensor and actor networks. Explanation of medium access control, ad hoc routing, data-centric networking, synchronization, and task allocation issues. Introduction to swarm intelligence, artificial immune system, molecular information exchange. Numerous examples and application scenarios to illustrate the theory. Self-Organization in Sensor and Actor Networks will prove essential reading for students of computer science and related fields; researchers working in the area of massively distributed systems, sensor networks, self-organization, and bio-inspired networking will also find this reference useful.

Control of Self-Organizing Nonlinear Systems

Eckehard Schöll,Sabine H. L. Klapp,Philipp Hövel
Control of Self Organizing Nonlinear Systems Book PDF

Author : Eckehard Schöll,Sabine H. L. Klapp,Philipp Hövel
Publisher : Springer
Page : 475 pages
File Size : 52,6 Mb
Release : 2016-01-22
Category : Science
ISBN : 9783319280288

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Control of Self-Organizing Nonlinear Systems by Eckehard Schöll,Sabine H. L. Klapp,Philipp Hövel Pdf

The book summarizes the state-of-the-art of research on control of self-organizing nonlinear systems with contributions from leading international experts in the field. The first focus concerns recent methodological developments including control of networks and of noisy and time-delayed systems. As a second focus, the book features emerging concepts of application including control of quantum systems, soft condensed matter, and biological systems. Special topics reflecting the active research in the field are the analysis and control of chimera states in classical networks and in quantum systems, the mathematical treatment of multiscale systems, the control of colloidal and quantum transport, the control of epidemics and of neural network dynamics.

Beyond Empires: Global, Self-Organizing, Cross-Imperial Networks, 1500-1800

Anonim
Beyond Empires Global Self Organizing Cross Imperial Networks 1500 1800 Book PDF

Author : Anonim
Publisher : BRILL
Page : 327 pages
File Size : 54,9 Mb
Release : 2016-06-10
Category : History
ISBN : 9789004304154

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Beyond Empires: Global, Self-Organizing, Cross-Imperial Networks, 1500-1800 by Anonim Pdf

Beyond Empires explores the complexity of empire building from the point of view of self-organized cooperative networks, rather than from the point of view of the central state.