[PDF] Nature Inspired Networking - eBooks Review

Nature Inspired Networking


Nature Inspired Networking
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Nature Inspired Networking


Nature Inspired Networking
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Author : Phan Cong-Vinh
language : en
Publisher: CRC Press
Release Date : 2018-02-13

Nature Inspired Networking written by Phan Cong-Vinh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-13 with Computers categories.


"Nature-inspired" includes, roughly speaking, "bio-inspired"+"physical-inspired"+"social-inspired"+ and so on. This book contains highly original contributions about how nature is going to shape networking systems of the future. Hence, it focuses on rigorous approaches and cutting-edge solutions, which encompass three classes of major methods: 1) Those that take inspiration from nature for the development of novel problem solving techniques; 2) Those that are based on the use of networks to synthesize natural phenomena; and 3) Those that employ natural materials to compute or communicate.



Bio Inspired Networking


Bio Inspired Networking
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Author : Daniel Câmara
language : en
Publisher: ISTE Press - Elsevier
Release Date : 2015-08-19

Bio Inspired Networking written by Daniel Câmara and has been published by ISTE Press - Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-19 with Science categories.


Bio-inspired techniques are based on principles, or models, of biological systems. In general, natural systems present remarkable capabilities of resilience and adaptability. In this book, we explore how bio-inspired methods can solve different problems linked to computer networks. Future networks are expected to be autonomous, scalable and adaptive. During millions of years of evolution, nature has developed a number of different systems that present these and other characteristics required for the next generation networks. Indeed, a series of bio-inspired methods have been successfully used to solve the most diverse problems linked to computer networks. This book presents some of these techniques from a theoretical and practical point of view.



Bio Inspired Computing And Networking


Bio Inspired Computing And Networking
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Author : Yang Xiao
language : en
Publisher: CRC Press
Release Date : 2016-04-19

Bio Inspired Computing And Networking written by Yang Xiao and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Computers categories.


Seeking new methods to satisfy increasing communication demands, researchers continue to find inspiration from the complex systems found in nature. From ant-inspired allocation to a swarm algorithm derived from honeybees, Bio-Inspired Computing and Networking explains how the study of biological systems can significantly improve computing, networki



Nature Inspired Computing And Optimization


Nature Inspired Computing And Optimization
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Author : Srikanta Patnaik
language : en
Publisher: Springer
Release Date : 2017-03-07

Nature Inspired Computing And Optimization written by Srikanta Patnaik and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-07 with Technology & Engineering categories.


The book provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application in optimization. The approach is mainly practice-oriented: each bio-inspired technique or algorithm is introduced together with one of its possible applications. Applications cover a wide range of real-world optimization problems: from feature selection and image enhancement to scheduling and dynamic resource management, from wireless sensor networks and wiring network diagnosis to sports training planning and gene expression, from topology control and morphological filters to nutritional meal design and antenna array design. There are a few theoretical chapters comparing different existing techniques, exploring the advantages of nature-inspired computing over other methods, and investigating the mixing time of genetic algorithms. The book also introduces a wide range of algorithms, including the ant colony optimization, the bat algorithm, genetic algorithms, the collision-based optimization algorithm, the flower pollination algorithm, multi-agent systems and particle swarm optimization. This timely book is intended as a practice-oriented reference guide for students, researchers and professionals.



Nature Inspired Optimizers


Nature Inspired Optimizers
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Author : Seyedali Mirjalili
language : en
Publisher: Springer
Release Date : 2019-02-01

Nature Inspired Optimizers written by Seyedali Mirjalili and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-01 with Computers categories.


This book covers the conventional and most recent theories and applications in the area of evolutionary algorithms, swarm intelligence, and meta-heuristics. Each chapter offers a comprehensive description of a specific algorithm, from the mathematical model to its practical application. Different kind of optimization problems are solved in this book, including those related to path planning, image processing, hand gesture detection, among others. All in all, the book offers a tutorial on how to design, adapt, and evaluate evolutionary algorithms. Source codes for most of the proposed techniques have been included as supplementary materials on a dedicated webpage.



Bio Inspired Networking


Bio Inspired Networking
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Author : Daniel Câmara
language : en
Publisher: Elsevier
Release Date : 2015-08-19

Bio Inspired Networking written by Daniel Câmara and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-19 with Science categories.


Bio-inspired techniques are based on principles, or models, of biological systems. In general, natural systems present remarkable capabilities of resilience and adaptability. In this book, we explore how bio-inspired methods can solve different problems linked to computer networks.Future networks are expected to be autonomous, scalable and adaptive. During millions of years of evolution, nature has developed a number of different systems that present these and other characteristics required for the next generation networks. Indeed, a series of bio-inspired methods have been successfully used to solve the most diverse problems linked to computer networks. This book presents some of these techniques from a theoretical and practical point of view. - Discusses the key concepts of bio-inspired networking to aid you in finding efficient networking solutions - Delivers examples of techniques both in theoretical concepts and practical applications - Helps you apply nature's dynamic resource and task management to your computer networks



Nature Inspired Algorithms For Big Data Frameworks


Nature Inspired Algorithms For Big Data Frameworks
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Author : Banati, Hema
language : en
Publisher: IGI Global
Release Date : 2018-09-28

Nature Inspired Algorithms For Big Data Frameworks written by Banati, Hema and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-28 with Computers categories.


As technology continues to become more sophisticated, mimicking natural processes and phenomena becomes more of a reality. Continued research in the field of natural computing enables an understanding of the world around us, in addition to opportunities for manmade computing to mirror the natural processes and systems that have existed for centuries. Nature-Inspired Algorithms for Big Data Frameworks is a collection of innovative research on the methods and applications of extracting meaningful information from data using algorithms that are capable of handling the constraints of processing time, memory usage, and the dynamic and unstructured nature of data. Highlighting a range of topics including genetic algorithms, data classification, and wireless sensor networks, this book is ideally designed for computer engineers, software developers, IT professionals, academicians, researchers, and upper-level students seeking current research on the application of nature and biologically inspired algorithms for handling challenges posed by big data in diverse environments.



Localization Algorithms And Strategies For Wireless Sensor Networks Monitoring And Surveillance Techniques For Target Tracking


Localization Algorithms And Strategies For Wireless Sensor Networks Monitoring And Surveillance Techniques For Target Tracking
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Author : Mao, Guoqiang
language : en
Publisher: IGI Global
Release Date : 2009-05-31

Localization Algorithms And Strategies For Wireless Sensor Networks Monitoring And Surveillance Techniques For Target Tracking written by Mao, Guoqiang and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-31 with Computers categories.


Wireless localization techniques are an area that has attracted interest from both industry and academia, with self-localization capability providing a highly desirable characteristic of wireless sensor networks. Localization Algorithms and Strategies for Wireless Sensor Networks encompasses the significant and fast growing area of wireless localization techniques. This book provides comprehensive and up-to-date coverage of topics and fundamental theories underpinning measurement techniques and localization algorithms. A useful compilation for academicians, researchers, and practitioners, this Premier Reference Source contains relevant references and the latest studies emerging out of the wireless sensor network field.



Biologically Inspired Networking And Sensing Algorithms And Architectures


Biologically Inspired Networking And Sensing Algorithms And Architectures
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Author : Lio, Pietro
language : en
Publisher: IGI Global
Release Date : 2011-08-31

Biologically Inspired Networking And Sensing Algorithms And Architectures written by Lio, Pietro and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-31 with Computers categories.


Biologically Inspired Networking and Sensing: Algorithms and Architectures offers current perspectives and trends in biologically inspired networking, exploring various approaches aimed at improving network paradigms. Research contained within this compendium of research papers and surveys introduces researches in the fields of communication networks, performance modeling, and distributed computing to new advances in networking.



Nature Inspired Computing For Wireless Sensor Networks


Nature Inspired Computing For Wireless Sensor Networks
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Author : Debashis De
language : en
Publisher: Springer Nature
Release Date : 2020-02-01

Nature Inspired Computing For Wireless Sensor Networks written by Debashis De and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-01 with Technology & Engineering categories.


This book presents nature inspired computing applications for the wireless sensor network (WSN). Although the use of WSN is increasing rapidly, it has a number of limitations in the context of battery issue, distraction, low communication speed, and security. This means there is a need for innovative intelligent algorithms to address these issues.The book is divided into three sections and also includes an introductory chapter providing an overview of WSN and its various applications and algorithms as well as the associated challenges. Section 1 describes bio-inspired optimization algorithms, such as genetic algorithms (GA), artificial neural networks (ANN) and artificial immune systems (AIS) in the contexts of fault analysis and diagnosis, and traffic management. Section 2 highlights swarm optimization techniques, such as African buffalo optimization (ABO), particle swarm optimization (PSO), and modified swarm intelligence technique for solving the problems of routing, network parameters optimization, and energy estimation. Lastly, Section 3 explores multi-objective optimization techniques using GA, PSO, ANN, teaching–learning-based optimization (TLBO), and combinations of the algorithms presented. As such, the book provides efficient and optimal solutions for WSN problems based on nature-inspired algorithms.