· Book title: Modeling and Simulation of Complex Networks
· Book editor: Muaz A. Niazi
· Book publisher: IET Book Series on Big Data
· Deadline approaching: 31 Mar 18
Introduction
Modern Communication Networks are considerably complex in nature, not only
in terms of scale, but also in terms of heterogeneity and nature of
interactions. Communication engineers and researchers need to have models
of these real-world systems to analyze and predict the outcomes and
scenarios in such networks. While there are several currently available
simulator tools and paradigms, it can be a significant challenge for
researchers to develop realistic models of interconnected and complex
communication networks and systems – ranging from the Internet of Things to
Wireless Sensors, cloud and big data – all parts of the puzzle.
In some cases, simple approaches to simulations have been applied
successfully – often in the case of modeling limited to the communications
aspects of the network. However, in more complex and emergent real-world
scenarios involving a wide variety of components and networks,
complexity-related paradigms such as Agent-based Modeling, Complex Networks
modeling, multiscale modeling, and hybrid frameworks may be more suitable
and effective approaches for modeling the inherent complexity in such
systems.
Objective of the Book
While there are some existing journal special issues and individual papers
in this domain, there is no comprehensive book targeting this specific area
of research combining not only covering the fields of complexity and
Complex Adaptive Systems but also combining these concepts for application
to the emerging area of "Modeling and simulation of complex communication
networks".
Scope
The book will cover various aspects of modeling and simulation of complex
communication networks from the Complex Adaptive Systems perspective. It
will not only present an overview of different modeling paradigms, but also
present case studies of modeling various Complex Adaptive COmmunicatiOn
networks and environmentS (CACOONS).
Manuscript Style
Estimated number of pages (550 words per full-text page): Around 25 pages
including up to 20% as Figures/Tables. We anticipate the finished article
should be approximately 11000 words (with 20% Figures/Tables) in length,
including the footnotes, the endnotes, and references.
All submitted manuscripts will be subject to a scientific peer review.
Authoring guide about chapters for the IET can be found at the IET author
Hub:
http://www.theiet.org/resources/author-hub/books/guides-resources.cfm
Contact and Electronic Submission
Please contact Ms Bisma Khan at bis.sarfraz@gmail.com for queries and
manuscript submission (PDF format).
Publisher
The book will be included in the IET Book Series on Big Data, a series
edited by Prof. Albert Y. Zomaya (http://www.cs.usyd.edu.au/~zomaya/).
Editor
Muaz A. Niazi, PhD SMIEEE
Chief Scientific Officer,
Department of Computer Science, COMSATS Institute of IT, Islamabad, Pakistan
Founding EiC Springer Complex Adaptive Systems Modeling
EiC Emeritus, IGI Global IJPHIM
Email: muaz.niazi@gmail.com, niazi@alum.bu.edu
Web: http://www.niazilab.com
Twitter: https://twitter.com/MuazNiazi
Publons: https://publons.com/author/421250
Key Dates
· Chapter Due – 31 Mar 18
· Acceptance Notification – 10 Apr 18
· Estimated Publication Date - 01 July 2018
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