Bio-Inspired Computation in Telecommunications

Erscheinungsjahr 2015
ISBN: 978-0-12-801538-4
Verlag: Elsevier Inc

Buch, Englisch, 348 Seiten, Format (B × H): 186 mm x 231 mm, Gewicht: 725 g

Bio-inspired computation, especially those based on swarm intelligence, has become increasingly popular in the last decade. Bio-Inspired Computation in Telecommunications reviews the latest developments in bio-inspired computation from both theory and application as they relate to telecommunications and image processing, providing a complete resource that analyzes and discusses the latest and future trends in research directions. Written by recognized experts, this is a must-have guide for researchers, telecommunication engineers, computer scientists and PhD students.

Autoren/Hrsg.

Yang, Xin-She

Chien, Su Fong

Ting, T.O.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Technik Allgemein Bionik, Biomimetik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik

Inhaltsverzeichnis

1. Bio-Inspired Computation and Optimization: An Overview 2. Bio-inspired Approaches in Telecommunications Firefly Algorithm in Telecommunications3. A Survey of Intrusion Detection Systems Using Evolutionary Computation4. VoIP Quality Prediction Model by Bio-inspired Methods, On the impact of Differential Evolution parameters solving the Survivable Virtual Topology Mapping Problem in IP-over-WDM Networks, Radio Resource Management by Evolutionary Algorithms for 4G LTE-Advanced Networks5. Robust Transmission for Heterogeneous Networks with Cognitive Small Cells6. Ecologically-inspired Resource Distribution Techniques for Sustainable Communication Networks7. Multi-objective Optimization in Optical Networks8. Cell Coverage Area Optimization based on Particle Swarm Optimization (PSO) for Green Macro Long-term Evolution (LTE) Cellular Network9. Bio-Inspired Computation for Solving the Optimal Coverage Problem in Wireless Sensor Networks: A Binary Particle Swarm Optimization Approach 10. Clonal Selection based Minimum Interference Channel Assignment Algorithms for Multi-radio Wireless Mesh Networks

Über Autor(innen)

Chien, Su Fong
Chien Su Fong is an associate professor of Engineering & Technology at Multimedia University Malaysia where his research focuses in networking, wireless communications and optical switching technology. He is a frequent presenter at the IEEE International Conference on Communications and a member of the Optical Society of America (OSA).

Ting, T.O.
T.O. Ting is currently a Lecturer with the Department of Electrical and Electronic Engineering, Xian Jiaotong-Liverpool University. He obtained his Ph.D in Electrical Engineering from The Hong Kong Polytechnic University. His current research interests focus on the application of Computational Intelligence techniques in Engineering Optimization. He has recently presented his research as an invited speaker at the IEEE Asia Pacific Conference on Circuits and Systems and The Asia-Pacific Conference on Communications.

Yang, Xin-She
Xin-She Yang obtained his DPhil in Applied Mathematics from the University of Oxford. He then worked at Cambridge University and National Physical Laboratory (UK) as a Senior Research Scientist. He is currently a Reader in Modelling and Simulation at Middlesex University London, Fellow of the Institute of Mathematics and its Application (IMA) and a Book Series Co-Editor of the Springer Tracts in Nature-Inspired Computing. He has published more than 25 books and more than 400 peer-reviewed research publications with over 82000 citations, and he has been on the prestigious list of highly cited researchers (Web of Sciences) for seven consecutive years (2016-2022).