Bio-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, 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.

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. Xiaowas 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).

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

BIO-INSPIRED COMPUTING AND ROBOTSSocial Insect Societies for the Optimization of Dynamic NP-Hard Problems; Stephan A. Hartmann, Pedro C. Pinto, Thomas A. Runkler, And João M.C. SousaBio-Inspired Locomotion Control of the Hexapod Robot Gregor III; Paolo Arena and Luca PatanéBEECLUST: A Swarm Algorithm Derived from Honeybees: Derivation of the Algorithm, Analysis by Mathematical Models, and Implementation on a Robot Swarm; Thomas Schmickl and Heiko HamannSelf-Organizing Data and Signals Cellular Systems; André Stauffer and Gianluca TempestiBio-Inspired Process Control; Konrad Wojdan, Konrad Swirski, Michalwarchol, Grzegorz Jarmoszewicz, And Tomasz ChomiakMultirobot Search Using Bio-Inspired Cooperation and Communication Paradigms; Briana Wellman, Quinton Alexander, and Monica AndersonAbstractions for Planning and Control of Robotic Swarms; Calin BeltaAnt-Inspired Allocation: Top-Down Controller Design for Distributing A Robot Swarm among Multiple Tasks; Spring Berman, Ádám Halász, and M. Ani HsiehHuman Peripheral Nervous System Controlling Robots; Panagiotis K. Artemiadis and Kostas J. Kyriakopoulos

BIO-INSPIRED COMMUNICATIONS AND NETWORKSAdaptive Social Hierarchies: From Nature to Networks; Andrew MarkhamChemical 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 YomoTopological Robustness of Biological Systems for Information Networks—Modularity; S. Eum, S. Arakawa, and Masayuki MurataBiologically Inspired Dynamic Spectrum Access in Cognitive Radio Networks; Baris Atakan and Ozgur B. AkanWeakly Connected Oscillatory Networks for Information Processing; Michele Bonnin, Fernando Corinto, and Marco GilliModeling the Dynamics of Cellular Signaling for Communication Networks; Jian-Qin Liu and Kenji LeibnitzA Biologically Inspired QoS-Aware Architecture for Scalable, Adaptive, and Survivable Network Systems; Paskorn Champrasert and Junichi Suzuki