Optimization Problems In Self Organizing Networks

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Optimization Problems in Self-Organizing Networks

Author : Steffen Wolf
Publisher : Logos Verlag Berlin GmbH
Page : 278 pages
File Size : 48,9 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.

Self-Organizing Networks

Author : Juan Ramiro,Khalid Hamied
Publisher : John Wiley & Sons
Page : 283 pages
File Size : 55,6 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-Organized Mobile Communication Technologies and Techniques for Network Optimization

Author : Diab, Ali
Publisher : IGI Global
Page : 416 pages
File Size : 54,7 Mb
Release : 2016-04-25
Category : Technology & Engineering
ISBN : 9781522502401

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Self-Organized Mobile Communication Technologies and Techniques for Network Optimization by Diab, Ali Pdf

With increased consumer use and adoption, mobile communication technologies are faced with the challenge of creating an adequate wireless networking architecture that can support a high degree of scalability, performance, and reliability in a cost-effective manner without comprising security or quality of service. Self-Organized Mobile Communication Technologies and Techniques for Network Optimization explores self-organizing networks (SONs) as a proposed solution for the automation of mobile communication tasks that currently require significant efforts for planning, operation, and management. Emphasizing research on the latest generation of mobile communication networks, the 5th generation (5G), this publication proposes timely solutions and presents the latest developments in the field of mobile communication technologies. IT developers, engineers, graduate-level students, and researchers will find this publication to be essential to their research needs.

Neural Networks in Optimization

Author : Xiang-Sun Zhang
Publisher : Springer Science & Business Media
Page : 369 pages
File Size : 46,6 Mb
Release : 2013-03-09
Category : Science
ISBN : 9781475731675

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Neural Networks in Optimization by Xiang-Sun Zhang Pdf

People are facing more and more NP-complete or NP-hard problems of a combinatorial nature and of a continuous nature in economic, military and management practice. There are two ways in which one can enhance the efficiency of searching for the solutions of these problems. The first is to improve the speed and memory capacity of hardware. We all have witnessed the computer industry's amazing achievements with hardware and software developments over the last twenty years. On one hand many computers, bought only a few years ago, are being sent to elementary schools for children to learn the ABC's of computing. On the other hand, with economic, scientific and military developments, it seems that the increase of intricacy and the size of newly arising problems have no end. We all realize then that the second way, to design good algorithms, will definitely compensate for the hardware limitations in the case of complicated problems. It is the collective and parallel computation property of artificial neural net works that has activated the enthusiasm of researchers in the field of computer science and applied mathematics. It is hard to say that artificial neural networks are solvers of the above-mentioned dilemma, but at least they throw some new light on the difficulties we face. We not only anticipate that there will be neural computers with intelligence but we also believe that the research results of artificial neural networks might lead to new algorithms on von Neumann's computers.

Self-Organizing Systems

Author : Wilfried Elmenreich,Falko Dressler,Vittorio Loreto
Publisher : Springer
Page : 201 pages
File Size : 52,8 Mb
Release : 2014-02-14
Category : Computers
ISBN : 9783642541407

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Self-Organizing Systems by Wilfried Elmenreich,Falko Dressler,Vittorio Loreto Pdf

This book constitutes the thoroughly refereed post-conference proceedings of the 7th IFIP TC 6 International Workshop on Self-Organizing Systems, IWSOS 2013, held in Palma de Mallorca, Spain, in May 2013. The 11 revised full papers and 9 short papers presented were carefully selected from 35 paper submissions. The papers are organized in following topics: design and analysis of self-organizing and self-managing systems, inspiring models of self-organization in nature and society, structure, characteristics and dynamics of self-organizing networks, self-organization in techno-social systems, self-organized social computation and self-organized communication systems.

Self-Organizing Architectures

Author : Danny Weyns,Sam Malek,Rogério de Lemos,Jesper Andersson
Publisher : Springer
Page : 301 pages
File Size : 55,6 Mb
Release : 2010-07-17
Category : Computers
ISBN : 9783642144127

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Self-Organizing Architectures by Danny Weyns,Sam Malek,Rogério de Lemos,Jesper Andersson Pdf

This book contains the refereed post-conference proceedings of the First International Self-Organizing Architectures Workshop (SOAR) in Cambridge, UK, in September 2009. The book includes 9 revised papers, which were selected from 17 submissions of the workshop, as well as 4 invited papers. The papers cover a broad range of topics related to self-organizing architectures, including self adaptive architectures, decentralized architectures, nature-inspired approaches, and learning approaches.

Artificial Immune Systems

Author : Peter Bentley,Doheon Lee,Sungwon Jung
Publisher : Springer
Page : 436 pages
File Size : 44,9 Mb
Release : 2008-08-05
Category : Computers
ISBN : 9783540850724

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Artificial Immune Systems by Peter Bentley,Doheon Lee,Sungwon Jung Pdf

This book constitutes the refereed proceedings of the 7th International Conference on Artificial Immune Systems, ICARIS 2008, held in Phuket, Thailand, in August 2008. The 40 revised full papers presented were carefully reviewed and selected from 67 submissions. The papers are organized in topical sections on computational immunology, applied AIS, and theoretical AIS. Position papers and conceptual papers are also included.

Robustness Optimization for IoT Topology

Author : Tie Qiu,Ning Chen,Songwei Zhang
Publisher : Springer Nature
Page : 224 pages
File Size : 51,6 Mb
Release : 2022-06-11
Category : Computers
ISBN : 9789811696091

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Robustness Optimization for IoT Topology by Tie Qiu,Ning Chen,Songwei Zhang Pdf

The IoT topology defines the way various components communicate with each other within a network. Topologies can vary greatly in terms of security, power consumption, cost, and complexity. Optimizing the IoT topology for different applications and requirements can help to boost the network’s performance and save costs. More importantly, optimizing the topology robustness can ensure security and prevent network failure at the foundation level. In this context, this book examines the optimization schemes for topology robustness in the IoT, helping readers to construct a robustness optimization framework, from self-organizing to intelligent networking. The book provides the relevant theoretical framework and the latest empirical research on robustness optimization of IoT topology. Starting with the self-organization of networks, it gradually moves to genetic evolution. It also discusses the application of neural networks and reinforcement learning to endow the node with self-learning ability to allow intelligent networking. This book is intended for students, practitioners, industry professionals, and researchers who are eager to comprehend the vulnerabilities of IoT topology. It helps them to master the research framework for IoT topology robustness optimization and to build more efficient and reliable IoT topologies in their industry.

Soft Computing in Industrial Applications

Author : Yukinori Suzuki
Publisher : Springer Science & Business Media
Page : 690 pages
File Size : 46,5 Mb
Release : 2000-03-15
Category : Computers
ISBN : 185233293X

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Soft Computing in Industrial Applications by Yukinori Suzuki Pdf

This book contains a selection of papers that were initially presented at the 4th On-Line World Conference on Soft Computing in Industrial Applications that was held in September 1999. Soft Computing provides various methodologies for developing intelligent systems that offer competitive solutions to real world problems. This book is comprised of a unique collection of papers that provide a comprehensive overview of state-of-the-art-theory and sucessful industrial applications of soft computing around the world. It is written by some of the leading researchers in this field. This book is aimed at researchers and professional engineers who are engaged in developing intelligent systems as well as graduate students in science and engineering.

Optimization of Large Structural Systems

Author : G. I. N. Rozvany
Publisher : Springer Science & Business Media
Page : 594 pages
File Size : 45,8 Mb
Release : 1993
Category : Science
ISBN : 0792321294

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Optimization of Large Structural Systems by G. I. N. Rozvany Pdf

This is the second of two volumes which examine structural optimization of large structural systems. Topics covered in these volumes include optimality criteria and topology optimization, decomposition methods and approximation concepts, neural networks and parallel processing.

Optimization of Large Structural Systems

Author : George I. N. Rozvany
Publisher : Springer Science & Business Media
Page : 1201 pages
File Size : 44,5 Mb
Release : 2013-11-21
Category : Technology & Engineering
ISBN : 9789401095778

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Optimization of Large Structural Systems by George I. N. Rozvany Pdf

G.I.N. Rozvany ASI Director, Professor of Structural Design, FB 10, Essen University, Essen, Germany Structural optimization deals with the optimal design of all systems that consist, at least partially, of solids and are subject to stresses and deformations. This inte grated discipline plays an increasingly important role in all branches of technology, including aerospace, structural, mechanical, civil and chemical engineering as well as energy generation and building technology. In fact, the design of most man made objects, ranging from space-ships and long-span bridges to tennis rackets and artificial organs, can be improved considerably if human intuition is enhanced by means of computer-aided, systematic decisions. In analysing highly complex structural systems in practice, discretization is un avoidable because closed-form analytical solutions are only available for relatively simple, idealized problems. To keep discretization errors to a minimum, it is de sirable to use a relatively large number of elements. Modern computer technology enables us to analyse systems with many thousand degrees of freedom. In the optimization of structural systems, however, most currently available methods are restricted to at most a few hundred variables or a few hundred active constraints.

Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003

Author : Okyay Kaynak,Ethem Alpaydin,Erkki Oja,Lei Xu
Publisher : Springer
Page : 1194 pages
File Size : 51,6 Mb
Release : 2003-08-03
Category : Computers
ISBN : 9783540449898

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Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003 by Okyay Kaynak,Ethem Alpaydin,Erkki Oja,Lei Xu Pdf

The refereed proceedings of the Joint International Conference on Artificial Neural Networks and International Conference on Neural Information Processing, ICANN/ICONIP 2003, held in Istanbul, Turkey, in June 2003. The 138 revised full papers were carefully reviewed and selected from 346 submissions. The papers are organized in topical sections on learning algorithms, support vector machine and kernel methods, statistical data analysis, pattern recognition, vision, speech recognition, robotics and control, signal processing, time-series prediction, intelligent systems, neural network hardware, cognitive science, computational neuroscience, context aware systems, complex-valued neural networks, emotion recognition, and applications in bioinformatics.

Self-organizing Coalitions for Managing Complexity

Author : Juan C. Burguillo
Publisher : Springer
Page : 343 pages
File Size : 54,5 Mb
Release : 2017-12-13
Category : Technology & Engineering
ISBN : 9783319698984

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Self-organizing Coalitions for Managing Complexity by Juan C. Burguillo Pdf

This book provides an interdisciplinary approach to complexity, combining ideas from areas like complex networks, cellular automata, multi-agent systems, self-organization and game theory. The first part of the book provides an extensive introduction to these areas, while the second explores a range of research scenarios. Lastly, the book presents CellNet, a software framework that offers a hands-on approach to the scenarios described throughout the book. In light of the introductory chapters, the research chapters, and the CellNet simulating framework, this book can be used to teach undergraduate and master’s students in disciplines like artificial intelligence, computer science, applied mathematics, economics and engineering. Moreover, the book will be particularly interesting for Ph.D. and postdoctoral researchers seeking a general perspective on how to design and create their own models.

Machine Learning for Networking

Author : Selma Boumerdassi,Éric Renault,Paul Mühlethaler
Publisher : Springer Nature
Page : 498 pages
File Size : 50,5 Mb
Release : 2020-04-19
Category : Computers
ISBN : 9783030457785

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Machine Learning for Networking by Selma Boumerdassi,Éric Renault,Paul Mühlethaler Pdf

This book constitutes the thoroughly refereed proceedings of the Second International Conference on Machine Learning for Networking, MLN 2019, held in Paris, France, in December 2019. The 26 revised full papers included in the volume were carefully reviewed and selected from 75 submissions. They present and discuss new trends in deep and reinforcement learning, patternrecognition and classi cation for networks, machine learning for network slicingoptimization, 5G system, user behavior prediction, multimedia, IoT, securityand protection, optimization and new innovative machine learning methods, performanceanalysis of machine learning algorithms, experimental evaluations ofmachine learning, data mining in heterogeneous networks, distributed and decentralizedmachine learning algorithms, intelligent cloud-support communications,ressource allocation, energy-aware communications, software de ned networks,cooperative networks, positioning and navigation systems, wireless communications,wireless sensor networks, underwater sensor networks.

Handbook of Neural Computation

Author : E Fiesler,R Beale
Publisher : CRC Press
Page : 1094 pages
File Size : 55,9 Mb
Release : 2020-01-15
Category : Computers
ISBN : 9781420050646

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Handbook of Neural Computation by E Fiesler,R Beale Pdf

The Handbook of Neural Computation is a practical, hands-on guide to the design and implementation of neural networks used by scientists and engineers to tackle difficult and/or time-consuming problems. The handbook bridges an information pathway between scientists and engineers in different disciplines who apply neural networks to similar probl