The Resource Bio-inspired computing and networking, edited by Yang Xiao
Bio-inspired computing and networking, edited by Yang Xiao
Resource Information
The item Bio-inspired computing and networking, edited by Yang Xiao represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 2 library branches.
Resource Information
The item Bio-inspired computing and networking, edited by Yang Xiao represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 2 library branches.
- Summary
- In seeking new methods to cope with greater communication demands, researchers are finding inspiration in examples presented by nature. Considering a range of sources from insect to primate communication, leading researches present state-of-the-art approaches and novel technologies for developing bio-inspired models. They cover mathematical models and present experimental studies of bio-inspired computing and communications. They explore bio-inspired topology control and reconfiguration methods, as well as bio-inspired localization, synchronization, and mobility approaches. They also delve int
- Language
- eng
- Extent
- 1 online resource (xviii, 534 pages)
- Contents
-
- Stephan A. Hartman [and others]
- 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 signal cellular systems
- André Stauffer and Gianluca Tempesti
- Bio-inspired process control
- Animal behaviors and animal communications.
- Konrad Wojdan [and others]
- 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
- Animal models for computing and communications :
- Bio-inspired communications and networks.
- Adaptive social hierarchies :
- from nature to networks
- Andrew Markham
- Chemical relaying protocols
- Daniele Miorandi [and others]
- 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
- past approaches and future challenges
- Biologically inspired dynamic spectrum access in cognitive radio networks
- Baris Atakan and Ozgur B. Akan
- Weakly connected oscillatory networks for information processing
- Michelle 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
- 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
- Bio-inspired computing and robots.
- Social insect societies for the optimization of dynamic NP-hard problems
- Isbn
- 9781420080339
- Label
- Bio-inspired computing and networking
- Title
- Bio-inspired computing and networking
- Statement of responsibility
- edited by Yang Xiao
- Language
- eng
- Summary
- In seeking new methods to cope with greater communication demands, researchers are finding inspiration in examples presented by nature. Considering a range of sources from insect to primate communication, leading researches present state-of-the-art approaches and novel technologies for developing bio-inspired models. They cover mathematical models and present experimental studies of bio-inspired computing and communications. They explore bio-inspired topology control and reconfiguration methods, as well as bio-inspired localization, synchronization, and mobility approaches. They also delve int
- Cataloging source
- WAU
- Dewey number
- 003.522
- Illustrations
- illustrations
- Index
- index present
- LC call number
- Q334
- LC item number
- .B56 2011
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- http://library.link/vocab/relatedWorkOrContributorDate
- 1966-
- http://library.link/vocab/relatedWorkOrContributorName
- Xiao, Yang
- http://library.link/vocab/subjectName
-
- Natural computation
- Computational intelligence
- Computer networks
- COMPUTERS
- Natural computation
- Computational intelligence
- Computer networks
- Label
- Bio-inspired computing and networking, edited by Yang Xiao
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- mixed
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- Stephan A. Hartman [and others]
- 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 signal cellular systems
- André Stauffer and Gianluca Tempesti
- Bio-inspired process control
- Animal behaviors and animal communications.
- Konrad Wojdan [and others]
- 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
- Animal models for computing and communications :
- Bio-inspired communications and networks.
- Adaptive social hierarchies :
- from nature to networks
- Andrew Markham
- Chemical relaying protocols
- Daniele Miorandi [and others]
- 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
- past approaches and future challenges
- Biologically inspired dynamic spectrum access in cognitive radio networks
- Baris Atakan and Ozgur B. Akan
- Weakly connected oscillatory networks for information processing
- Michelle 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
- 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
- Bio-inspired computing and robots.
- Social insect societies for the optimization of dynamic NP-hard problems
- Control code
- 725428248
- Dimensions
- unknown
- Extent
- 1 online resource (xviii, 534 pages)
- Form of item
- online
- Isbn
- 9781420080339
- Lccn
- 2011282250
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1201/b10781
- Other physical details
- illustrations
- http://library.link/vocab/ext/overdrive/overdriveId
- cl0500000525
- Specific material designation
- remote
- System control number
- (OCoLC)725428248
- Label
- Bio-inspired computing and networking, edited by Yang Xiao
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- mixed
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- Stephan A. Hartman [and others]
- 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 signal cellular systems
- André Stauffer and Gianluca Tempesti
- Bio-inspired process control
- Animal behaviors and animal communications.
- Konrad Wojdan [and others]
- 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
- Animal models for computing and communications :
- Bio-inspired communications and networks.
- Adaptive social hierarchies :
- from nature to networks
- Andrew Markham
- Chemical relaying protocols
- Daniele Miorandi [and others]
- 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
- past approaches and future challenges
- Biologically inspired dynamic spectrum access in cognitive radio networks
- Baris Atakan and Ozgur B. Akan
- Weakly connected oscillatory networks for information processing
- Michelle 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
- 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
- Bio-inspired computing and robots.
- Social insect societies for the optimization of dynamic NP-hard problems
- Control code
- 725428248
- Dimensions
- unknown
- Extent
- 1 online resource (xviii, 534 pages)
- Form of item
- online
- Isbn
- 9781420080339
- Lccn
- 2011282250
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1201/b10781
- Other physical details
- illustrations
- http://library.link/vocab/ext/overdrive/overdriveId
- cl0500000525
- Specific material designation
- remote
- System control number
- (OCoLC)725428248
Library Links
Embed
Settings
Select options that apply then copy and paste the RDF/HTML data fragment to include in your application
Embed this data in a secure (HTTPS) page:
Layout options:
Include data citation:
<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/portal/Bio-inspired-computing-and-networking-edited-by/mlIBU7_4-lM/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Bio-inspired-computing-and-networking-edited-by/mlIBU7_4-lM/">Bio-inspired computing and networking, edited by Yang Xiao</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>
Note: Adjust the width and height settings defined in the RDF/HTML code fragment to best match your requirements
Preview
Cite Data - Experimental
Data Citation of the Item Bio-inspired computing and networking, edited by Yang Xiao
Copy and paste the following RDF/HTML data fragment to cite this resource
<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/portal/Bio-inspired-computing-and-networking-edited-by/mlIBU7_4-lM/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Bio-inspired-computing-and-networking-edited-by/mlIBU7_4-lM/">Bio-inspired computing and networking, edited by Yang Xiao</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>
