Literature DB >> 21643462

From biological and social network metaphors to coupled bio-social wireless networks.

Christopher L Barrett1, Karthik Channakeshava, Stephen Eubank, V S Anil Kumar, Madhav V Marathe.   

Abstract

Biological and social analogies have been long applied to complex systems. Inspiration has been drawn from biological solutions to solve problems in engineering products and systems, ranging from Velcro to camouflage to robotics to adaptive and learning computing methods. In this paper, we present an overview of recent advances in understanding biological systems as networks and use this understanding to design and analyse wireless communication networks. We expand on two applications, namely cognitive sensing and control and wireless epidemiology. We discuss how our work in these two applications is motivated by biological metaphors. We believe that recent advances in computing and communications coupled with advances in health and social sciences raise the possibility of studying coupled bio-social communication networks. We argue that we can better utilise the advances in our understanding of one class of networks to better our understanding of the other.

Entities:  

Year:  2011        PMID: 21643462      PMCID: PMC3107043          DOI: 10.1504/IJAACS.2011.039720

Source DB:  PubMed          Journal:  Int J Auton Adapt Commun Syst        ISSN: 1754-8632


  12 in total

1.  Complexity and robustness.

Authors:  J M Carlson; John Doyle
Journal:  Proc Natl Acad Sci U S A       Date:  2002-02-19       Impact factor: 11.205

2.  Daniel Bernoulli's epidemiological model revisited.

Authors:  Klaus Dietz; J A P Heesterbeek
Journal:  Math Biosci       Date:  2002 Nov-Dec       Impact factor: 2.144

3.  The analysis of equilibrium in malaria.

Authors:  G MACDONALD
Journal:  Trop Dis Bull       Date:  1952-09

4.  Modelling disease outbreaks in realistic urban social networks.

Authors:  Stephen Eubank; Hasan Guclu; V S Anil Kumar; Madhav V Marathe; Aravind Srinivasan; Zoltán Toroczkai; Nan Wang
Journal:  Nature       Date:  2004-05-13       Impact factor: 49.962

5.  Contributions to the mathematical theory of epidemics--I. 1927.

Authors:  W O Kermack; A G McKendrick
Journal:  Bull Math Biol       Date:  1991       Impact factor: 1.758

6.  Containing pandemic influenza at the source.

Authors:  Ira M Longini; Azhar Nizam; Shufu Xu; Kumnuan Ungchusak; Wanna Hanshaoworakul; Derek A T Cummings; M Elizabeth Halloran
Journal:  Science       Date:  2005-08-03       Impact factor: 47.728

7.  2020 computing: can computers help to explain biology?

Authors:  Roger Brent; Jehoshua Bruck
Journal:  Nature       Date:  2006-03-23       Impact factor: 49.962

8.  An influenza simulation model for immunization studies.

Authors:  L R Elveback; J P Fox; E Ackerman; A Langworthy; M Boyd; L Gatewood
Journal:  Am J Epidemiol       Date:  1976-02       Impact factor: 4.897

9.  Strategies for mitigating an influenza pandemic.

Authors:  Neil M Ferguson; Derek A T Cummings; Christophe Fraser; James C Cajka; Philip C Cooley; Donald S Burke
Journal:  Nature       Date:  2006-04-26       Impact factor: 49.962

10.  A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation.

Authors:  Emil Jovanov; Aleksandar Milenkovic; Chris Otto; Piet C de Groen
Journal:  J Neuroeng Rehabil       Date:  2005-03-01       Impact factor: 4.262

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.