Bio inspired Networking

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

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  • Author : Daniel Câmara
  • Publisher : Elsevier
  • Pages : 144 pages
  • ISBN : 0081004656
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKBio inspired Networking

Bio-inspired Networking

Bio-inspired Networking
  • Author : Daniel Câmara
  • Publisher : Elsevier
  • Release : 19 August 2015
GET THIS BOOKBio-inspired Networking

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

Bio-Inspired Computing and Networking

Bio-Inspired Computing and Networking
  • Author : Yang Xiao
  • Publisher : CRC Press
  • Release : 19 April 2016
GET THIS BOOKBio-Inspired Computing and Networking

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

Biologically Inspired Networking and Sensing: Algorithms and Architectures

Biologically Inspired Networking and Sensing: Algorithms and Architectures
  • Author : Lio, Pietro,Verma, Dinesh
  • Publisher : IGI Global
  • Release : 31 August 2011
GET THIS BOOKBiologically Inspired Networking and Sensing: Algorithms and Architectures

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 Networking

Nature-Inspired Networking
  • Author : Phan Cong-Vinh
  • Publisher : CRC Press
  • Release : 13 February 2018
GET THIS BOOKNature-Inspired Networking

"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

Bio-Inspired Computation in Telecommunications

Bio-Inspired Computation in Telecommunications
  • Author : Xin-She Yang,Su Fong Chien,T.O. Ting
  • Publisher : Morgan Kaufmann
  • Release : 11 February 2015
GET THIS BOOKBio-Inspired Computation in Telecommunications

Bio-inspired computation, especially those based on swarm intelligence, has become increasingly popular in the last decade. Bio-Inspired Computation in Telecommunications reviews the latest developments in bio-inspired computation from both theory and application as they relate to telecommunications and image processing, providing a complete resource that analyzes and discusses the latest and future trends in research directions. Written by recognized experts, this is a must-have guide for researchers, telecommunication engineers, computer scientists and PhD students.

Computational Vision and Bio-Inspired Computing

Computational Vision and Bio-Inspired Computing
  • Author : S. Smys,João Manuel R. S. Tavares,Valentina Emilia Balas,Abdullah M. Iliyasu
  • Publisher : Springer Nature
  • Release : 06 January 2020
GET THIS BOOKComputational Vision and Bio-Inspired Computing

This proceedings book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. Due to the rapid advances in the emerging information, communication and computing technologies, the Internet of Things, cloud and edge computing, and artificial intelligence play a significant role in the computational vision context. In recent years, computational vision has contributed to enhancing the methods of controlling the operations in biological systems, like ant colony optimization, neural networks, and immune systems. Moreover, the ability of computational vision to

Self-Organization in Sensor and Actor Networks

Self-Organization in Sensor and Actor Networks
  • Author : Falko Dressler
  • Publisher : John Wiley & Sons
  • Release : 11 March 2008
GET THIS BOOKSelf-Organization in Sensor and Actor Networks

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

Bio-Inspired Computing for Image and Video Processing

Bio-Inspired Computing for Image and Video Processing
  • Author : D. P. Acharjya,V. Santhi
  • Publisher : CRC Press
  • Release : 02 January 2018
GET THIS BOOKBio-Inspired Computing for Image and Video Processing

In recent years bio-inspired computational theories and tools have developed to assist people in extracting knowledge from high dimensional data. These differ in how they take a more evolutionary approach to learning, as opposed to traditional artificial intelligence (AI) and what could be described as 'creationist' methods. Instead bio-inspired computing takes a bottom-up, de-centralized approach that often involves the method of specifying a set of simple rules, a set of simple organisms which adhere to those rules, and of iteratively

Bio-Inspired Computing and Applications

Bio-Inspired Computing and Applications
  • Author : De-Shuang Huang,Yong Gan,Prashan Premaratne,Kyungsook Han
  • Publisher : Springer Science & Business Media
  • Release : 03 January 2012
GET THIS BOOKBio-Inspired Computing and Applications

The three-volume set LNCS 6838, LNAI 6839, and LNBI 6840 constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Intelligent Computing, ICIC 2011, held in Zhengzhou, China, in August 2011. This volume contains 93 revised full papers, from a total of 281 presentations at the conference - carefully reviewed and selected from 832 initial submissions. The papers address all issues in Advanced Intelligent Computing, especially Methodologies and Applications, including theories, methodologies, and applications in science and technology. They include a range of techniques such as

Mapping Biological Systems to Network Systems

Mapping Biological Systems to Network Systems
  • Author : Heena Rathore
  • Publisher : Springer
  • Release : 10 February 2016
GET THIS BOOKMapping Biological Systems to Network Systems

The book presents the challenges inherent in the paradigm shift of network systems from static to highly dynamic distributed systems – it proposes solutions that the symbiotic nature of biological systems can provide into altering networking systems to adapt to these changes. The author discuss how biological systems – which have the inherent capabilities of evolving, self-organizing, self-repairing and flourishing with time – are inspiring researchers to take opportunities from the biology domain and map them with the problems faced in network domain.

Bio-Inspired Models of Network, Information, and Computing Systems

Bio-Inspired Models of Network, Information, and Computing Systems
  • Author : Gianni A. Di Caro,Guy Theraulaz
  • Publisher : Springer
  • Release : 08 July 2014
GET THIS BOOKBio-Inspired Models of Network, Information, and Computing Systems

This book constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Bio-Inspired Models of Network, Information and Computing Systems (Bionetics 2012), held in Lugano, Switzerland, in December 2012. The 23 revised full papers presented were carefully reviewed and selected from 40 submissions. They cover topics such as networking, robotics and neural networks, molecular scale and bioinformatics, optimization and bio-inspired modeling in various fields.

Autonomic Networking-on-Chip

Autonomic Networking-on-Chip
  • Author : Phan Cong-Vinh
  • Publisher : CRC Press
  • Release : 03 September 2018
GET THIS BOOKAutonomic Networking-on-Chip

Despite the growing mainstream importance and unique advantages of autonomic networking-on-chip (ANoC) technology, Autonomic Networking-On-Chip: Bio-Inspired Specification, Development, and Verification is among the first books to evaluate research results on formalizing this emerging NoC paradigm, which was inspired by the human nervous system. The FIRST Book to Assess Research Results, Opportunities, & Trends in "BioChipNets" The third book in the Embedded Multi-Core Systems series from CRC Press, this is an advanced technical guide and reference composed of contributions from prominent researchers

Organic Computing

Organic Computing
  • Author : Rolf P. Würtz
  • Publisher : Springer Science & Business Media
  • Release : 21 October 2008
GET THIS BOOKOrganic Computing

In this book, the major ideas behind Organic Computing are delineated, together with a sparse sample of computational projects undertaken in this new field. Biological metaphors include evolution, neural networks, gene-regulatory networks, networks of brain modules, hormone system, insect swarms, and ant colonies. Applications are as diverse as system design, optimization, artificial growth, task allocation, clustering, routing, face recognition, and sign language understanding.

Wireless Sensor Networks

Wireless Sensor Networks
  • Author : Damodar Reddy Edla,Mahesh Chowdary Kongara,Amruta Lipare,Venkatanareshbabu Kuppili,Kannadasan K
  • Publisher : CRC Press
  • Release : 24 November 2020
GET THIS BOOKWireless Sensor Networks

Wireless Sensor Networks: Evolutionary Algorithms for Optimizing Performance provides an integrative overview of bio-inspired algorithms and their applications in the area of Wireless Sensor Networks (WSN). Along with the usage of the WSN, the number of risks and challenges occurs while deploying any WSN. Therefore, to defeat these challenges some of the bio-inspired algorithms are applied and discussed in this book. Discussion includes a broad, integrated perspective on various challenges and issues in WSN and also impact of bio-inspired algorithms