Yang Xiao
Bio-Inspired Computing and Networking
Yang Xiao
Bio-Inspired Computing and Networking
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From ant-inspired allocation to a swarm algorithm derived from honeybees, this book 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.
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From ant-inspired allocation to a swarm algorithm derived from honeybees, this book 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.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd (Sales)
- Seitenzahl: 552
- Erscheinungstermin: 14. Juni 2017
- Englisch
- Abmessung: 234mm x 156mm x 28mm
- Gewicht: 767g
- ISBN-13: 9781138115255
- ISBN-10: 1138115258
- Artikelnr.: 48682903
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
- Verlag: Taylor & Francis Ltd (Sales)
- Seitenzahl: 552
- Erscheinungstermin: 14. Juni 2017
- Englisch
- Abmessung: 234mm x 156mm x 28mm
- Gewicht: 767g
- ISBN-13: 9781138115255
- ISBN-10: 1138115258
- Artikelnr.: 48682903
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
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).
Animal Behaviors and Animal Communications. Animal Models for Computing and
Communications: Past Approaches and Future Challenges. Social Behaviors of
the California Sea Lion, Bottlenose Dolphin, and Orca Whale. Bio-Inspired
Computing and Robots. Social Insect Societies for the Optimization of
Dynamic NP-Hard Problems. Bio-Inspired Locomotion Control of the Hexapod
Robot Gregor III. BEECLUST: A Swarm Algorithm Derived from Honeybees:
Derivation of the Algorithm, Analysis by Mathematical Models, and
Implementation on a Robot Swarm. Self-Organizing Data and Signals Cellular
Systems. Bio-Inspired Process Control. Multirobot Search Using Bio-Inspired
Cooperation and Communication Paradigms. Abstractions for Planning and
Control of Robotic Swarms. Ant-Inspired Allocation: Top-Down Controller
Design for Distributing A Robot Swarm among Multiple Tasks. Human
Peripheral Nervous System Controlling Robots. Bio-Inspired Communications
and Networks. Adaptive Social Hierarchies: From Nature to Networks.
Chemical Relaying Protocols. Attractor Selection as Self-Adaptive Control
Mechanism for Communication Networks. Topological Robustness of Biological
Systems for Information Networks-Modularity. Biologically Inspired Dynamic
Spectrum Access in Cognitive Radio Networks. Weakly Connected Oscillatory
Networks for Information Processing. Modeling the Dynamics of Cellular
Signaling for Communication Networks. A Biologically Inspired QoS-Aware
Architecture for Scalable, Adaptive, and Survivable Network Systems.
Communications: Past Approaches and Future Challenges. Social Behaviors of
the California Sea Lion, Bottlenose Dolphin, and Orca Whale. Bio-Inspired
Computing and Robots. Social Insect Societies for the Optimization of
Dynamic NP-Hard Problems. Bio-Inspired Locomotion Control of the Hexapod
Robot Gregor III. BEECLUST: A Swarm Algorithm Derived from Honeybees:
Derivation of the Algorithm, Analysis by Mathematical Models, and
Implementation on a Robot Swarm. Self-Organizing Data and Signals Cellular
Systems. Bio-Inspired Process Control. Multirobot Search Using Bio-Inspired
Cooperation and Communication Paradigms. Abstractions for Planning and
Control of Robotic Swarms. Ant-Inspired Allocation: Top-Down Controller
Design for Distributing A Robot Swarm among Multiple Tasks. Human
Peripheral Nervous System Controlling Robots. Bio-Inspired Communications
and Networks. Adaptive Social Hierarchies: From Nature to Networks.
Chemical Relaying Protocols. Attractor Selection as Self-Adaptive Control
Mechanism for Communication Networks. Topological Robustness of Biological
Systems for Information Networks-Modularity. Biologically Inspired Dynamic
Spectrum Access in Cognitive Radio Networks. Weakly Connected Oscillatory
Networks for Information Processing. Modeling the Dynamics of Cellular
Signaling for Communication Networks. A Biologically Inspired QoS-Aware
Architecture for Scalable, Adaptive, and Survivable Network Systems.
Animal Behaviors and Animal Communications. Animal Models for Computing and
Communications: Past Approaches and Future Challenges. Social Behaviors of
the California Sea Lion, Bottlenose Dolphin, and Orca Whale. Bio-Inspired
Computing and Robots. Social Insect Societies for the Optimization of
Dynamic NP-Hard Problems. Bio-Inspired Locomotion Control of the Hexapod
Robot Gregor III. BEECLUST: A Swarm Algorithm Derived from Honeybees:
Derivation of the Algorithm, Analysis by Mathematical Models, and
Implementation on a Robot Swarm. Self-Organizing Data and Signals Cellular
Systems. Bio-Inspired Process Control. Multirobot Search Using Bio-Inspired
Cooperation and Communication Paradigms. Abstractions for Planning and
Control of Robotic Swarms. Ant-Inspired Allocation: Top-Down Controller
Design for Distributing A Robot Swarm among Multiple Tasks. Human
Peripheral Nervous System Controlling Robots. Bio-Inspired Communications
and Networks. Adaptive Social Hierarchies: From Nature to Networks.
Chemical Relaying Protocols. Attractor Selection as Self-Adaptive Control
Mechanism for Communication Networks. Topological Robustness of Biological
Systems for Information Networks-Modularity. Biologically Inspired Dynamic
Spectrum Access in Cognitive Radio Networks. Weakly Connected Oscillatory
Networks for Information Processing. Modeling the Dynamics of Cellular
Signaling for Communication Networks. A Biologically Inspired QoS-Aware
Architecture for Scalable, Adaptive, and Survivable Network Systems.
Communications: Past Approaches and Future Challenges. Social Behaviors of
the California Sea Lion, Bottlenose Dolphin, and Orca Whale. Bio-Inspired
Computing and Robots. Social Insect Societies for the Optimization of
Dynamic NP-Hard Problems. Bio-Inspired Locomotion Control of the Hexapod
Robot Gregor III. BEECLUST: A Swarm Algorithm Derived from Honeybees:
Derivation of the Algorithm, Analysis by Mathematical Models, and
Implementation on a Robot Swarm. Self-Organizing Data and Signals Cellular
Systems. Bio-Inspired Process Control. Multirobot Search Using Bio-Inspired
Cooperation and Communication Paradigms. Abstractions for Planning and
Control of Robotic Swarms. Ant-Inspired Allocation: Top-Down Controller
Design for Distributing A Robot Swarm among Multiple Tasks. Human
Peripheral Nervous System Controlling Robots. Bio-Inspired Communications
and Networks. Adaptive Social Hierarchies: From Nature to Networks.
Chemical Relaying Protocols. Attractor Selection as Self-Adaptive Control
Mechanism for Communication Networks. Topological Robustness of Biological
Systems for Information Networks-Modularity. Biologically Inspired Dynamic
Spectrum Access in Cognitive Radio Networks. Weakly Connected Oscillatory
Networks for Information Processing. Modeling the Dynamics of Cellular
Signaling for Communication Networks. A Biologically Inspired QoS-Aware
Architecture for Scalable, Adaptive, and Survivable Network Systems.