Bio-Inspired Computing and Networking  book cover
1st Edition

Bio-Inspired Computing and Networking

ISBN 9781138115255
Published June 14, 2017 by CRC Press
552 Pages 262 B/W Illustrations

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Book Description

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, networking, and robotics.

Containing contributions from leading researchers from around the world, the book investigates the fundamental aspects and applications of bio-inspired computing and networking. Presenting the latest advances in bio-inspired communication, computing, networking, clustering, optimization, and robotics, the book considers state-of-the-art approaches, novel technologies, and experimental studies, including bio-inspired:

  • Optimization of dynamic NP-hard problems
  • Top-down controller design for distributing a robot swarm among multiple tasks
    • Self-organizing data and signals cellular systems
    • Dynamic spectrum access in cognitive radio networks
    • QoS-aware architecture for scalable, adaptive, and survivable network systems
    • Locomotion control of the Hexapod Robot Gregor III

    The book explores bio-inspired topology control and reconfiguration methods, as well as bio-inspired localization, synchronization, and mobility approaches. Providing wide-ranging coverage that includes past approaches, current challenges, and emerging concepts such as the evolution and self-healing of network architectures and protocols, this comprehensive reference provides you with the well-rounded understanding you need to continue the advancement of the development, design, and implementation of bio-inspired computing and networking.

    Table of Contents

    Animal Models for Computing and Communications: Past Approaches and Future Challenges; Karen L. Bales and Carolyn D. Kitzmann
    Social Behaviors of the California Sea Lion, Bottlenose Dolphin, and Orca Whale; Neil William Adams and Yang Xiao

    Social Insect Societies for the Optimization of Dynamic NP-Hard Problems; Stephan A. Hartmann, Pedro C. Pinto, Thomas A. Runkler, And João M.C. Sousa
    Bio-Inspired Locomotion Control of the Hexapod Robot Gregor III; Paolo Arena and Luca Patané
    BEECLUST: A Swarm Algorithm Derived from Honeybees: Derivation of the Algorithm, Analysis by Mathematical Models, and Implementation on a Robot Swarm; Thomas Schmickl and Heiko Hamann
    Self-Organizing Data and Signals Cellular Systems; André Stauffer and Gianluca Tempesti
    Bio-Inspired Process Control; Konrad Wojdan, Konrad Swirski, Michalwarchol, Grzegorz Jarmoszewicz, And Tomasz Chomiak
    Multirobot Search Using Bio-Inspired Cooperation and Communication Paradigms; Briana Wellman, Quinton Alexander, and Monica Anderson
    Abstractions for Planning and Control of Robotic Swarms; Calin Belta
    Ant-Inspired Allocation: Top-Down Controller Design for Distributing A Robot Swarm among Multiple Tasks; Spring Berman, Ádám Halász, and M. Ani Hsieh
    Human Peripheral Nervous System Controlling Robots; Panagiotis K. Artemiadis and Kostas J. Kyriakopoulos

    Adaptive Social Hierarchies: From Nature to Networks; Andrew Markham
    Chemical Relaying Protocols; Daniele Miorandi, Iacopo Carreras, Francesco De Pellegrini, Imrich Chlamtac, Vilmos Simon, and Endre Varga
    Attractor Selection as Self-Adaptive Control Mechanism for Communication Networks; Kenji Leibnitz, Masayuki Murata, And Tetsuya Yomo
    Topological Robustness of Biological Systems for Information Networks—Modularity; S. Eum, S. Arakawa, and Masayuki Murata
    Biologically Inspired Dynamic Spectrum Access in Cognitive Radio Networks; Baris Atakan and Ozgur B. Akan
    Weakly Connected Oscillatory Networks for Information Processing; Michele Bonnin, Fernando Corinto, and Marco Gilli
    Modeling the Dynamics of Cellular Signaling for Communication Networks; Jian-Qin Liu and Kenji Leibnitz
    A Biologically Inspired QoS-Aware Architecture for Scalable, Adaptive, and Survivable Network Systems; Paskorn Champrasert and Junichi Suzuki

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    Dr. Yang Xiao worked in the industry as a medium access control (MAC) architect and was involved in the IEEE 802.11 standard enhancement work before joining the Department of Computer Science at the University of Memphis in 2002. He is currently with the Department of Computer Science (with tenure) at the University of Alabama.

    Dr. Xiao was a voting member of the IEEE 802.11 Working Group from 2001 to 2004. He is also a senior member of the IEEE. Dr. Xiao serves as a panelist for the U.S. National Science Foundation (NSF), the Canada Foundation for Innovation (CFI)’s Telecommunications Expert Committee, and the American Institute of Biological Sciences (AIBS). He also serves as a referee/reviewer for many national and international funding agencies. His research interests include security, communications/networks, robotics, and telemedicine. He has published more than 160 refereed journal papers and over 200 refereed conference papers and book chapters related to these areas. His research has been supported by the U.S. National Science Foundation (NSF), U.S. Army Research the Global Environment for Network Innovations (GENI), Fleet Industrial Supply Center–San Diego (FISCSD), FIATECH, and the University of Alabama’s Research Grants Committee. He currently serves as editor-in-chief for the International Journal of Security and Networks (IJSN) and the International Journal of Sensor Networks (IJSNet). He was also the founding editor-in-chief for the International Journal of Telemedicine and Applications (IJTA) (2007–2009).