Bio-inspired Computing and Networking

by Xiao; Yang

• ISBN13: 9781420080322
• ISBN10: 1420080326
• Format: Hardcover
• Copyright: 2011-03-15
• Publisher: CRC Press

Summary

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 Networkingexplains 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

Preface	p. ix
Editor	p. xi
Acknowledgment	p. xiii
Contributors	p. xv
Animal Behaviors and Animal Communications
Animal Models for Computing and Communications: Past Approaches and Future Challenges	p. 3
Social Behaviors of the California Sea Lion, Bottlenose Dolphin, and Orca Whale	p. 19
Bio-Inspired Computing and Robots
Social Insect Societies for the Optimization of Dynamic NP-Hard Problems	p. 43
Bio-Inspired Locomotion Control of the Hexapod Robot Gregor III	p. 69
Beeclust: A Swarm Algorithm Derived from Honeybees: Derivation of the Algorithm, Analysis by Mathematical Models, and Implementation on a Robot Swarm	p. 95
Self-Organizing Data and Signal Cellular Systems	p. 139
Bio-Inspired Process Control	p. 167
Multirobot Search Using Bio-Inspired Cooperation and Communication Paradigms	p. 209
Abstractions for Planning and Control of Robotic Swarms	p. 225
Ant-Inspired Allocation: Top-Down Controller Design for Distributing a Robot Swarm among Multiple Tasks	p. 243
Human Peripheral Nervous System Controlling Robots	p. 275
Bio-Inspired Communications and Networks
Adaptive Social Hierarchies: From Nature to Networks	p. 305
Chemical Relaying Protocols	p. 351
Attractor Selection as Self-Adaptive Control Mechanism for Communication Networks	p. 369
Topological Robustness of Biological Systems for Information Networks-Modularity	p. 391
Biologically Inspired Dynamic Spectrum Access in Cognitive Radio Networks	p. 409
Weakly Connected Oscillatory Networks for Information Processing	p. 427
Modeling the Dynamics of Cellular Signaling for Communication Networks	p. 457
A Biologically Inspired QpS-Aware Architecture for Scalable, Adaptive, and Survivable Network Systems	p. 481
Index	p. 521
Table of Contents provided by Ingram. All Rights Reserved.