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Bio-Inspired Computation in Telecommunications
1st Edition - February 6, 2015
Authors: Xin-She Yang, Su Fong Chien, T.O. Ting
Language: English
Paperback ISBN:9780128015384
9 7 8 - 0 - 1 2 - 8 0 1 5 3 8 - 4
eBook ISBN:9780128017432
9 7 8 - 0 - 1 2 - 8 0 1 7 4 3 - 2
Bio-inspired computation, especially those based on swarm intelligence, has become increasingly popular in the last decade. Bio-Inspired Computation in Telecommunications revie…Read more
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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.
Researchers in artificial intelligence, telecommunication engineers, computer scientists
Preface
List of Contributors
Chapter 1: Bio-Inspired Computation and Optimization: An Overview
Abstract
1.1 Introduction
1.2 Telecommunications and optimization
1.3 Key challenges in optimization
1.4 Bio-inspired optimization algorithms
1.5 Artificial neural networks
1.6 Support vector machine
1.7 Conclusions
Chapter 2: Bio-Inspired Approaches in Telecommunications
Abstract
2.1 Introduction
2.2 Design problems in telecommunications
2.3 Green communications
2.4 Orthogonal frequency division multiplexing
2.5 OFDMA model considering energy efficiency and quality-of-service
2.6 Conclusions
Chapter 3: Firefly Algorithm in Telecommunications
Abstract
3.1 Introduction
3.2 Firefly algorithm
3.3 Traffic characterization
3.4 Applications in wireless cooperative networks
3.5 Concluding remarks
Chapter 4: A Survey of Intrusion Detection Systems Using Evolutionary Computation
Abstract
Acknowledgments
4.1 Introduction
4.2 Intrusion detection systems
4.3 The method: evolutionary computation
4.4 Evolutionary computation applications on intrusion detection
4.5 Conclusion and future directions
Chapter 5: VoIP Quality Prediction Model by Bio-Inspired Methods
Abstract
5.1 Introduction
5.2 Speech quality measurement background
5.3 Modeling methods
5.4 Experimental testbed
5.5 Results and discussion
5.6 Conclusions
Chapter 6: On the Impact of the Differential Evolution Parameters in the Solution of the Survivable Virtual Topology-Mapping Problem in IP-Over-WDM Networks
Abstract
6.1 Introduction
6.2 Problem formulation
6.3 DE algorithm
6.4 Illustrative example
6.5 Results and discussion
6.6 Conclusions
Chapter 7: Radio Resource Management by Evolutionary Algorithms for 4G LTE-Advanced Networks
Abstract
7.1 Introduction to radio resource management
7.2 LTE-A technologies
7.3 Self-organization using evolutionary algorithms
7.4 EAs in LTE-A
7.5 Conclusion
Chapter 8: Robust Transmission for Heterogeneous Networks with Cognitive Small Cells
Chapter 9: Ecologically Inspired Resource Distribution Techniques for Sustainable Communication Networks
Abstract
9.1 Introduction
9.2 Consumer-resource dynamics
9.3 Resource competition in the NGN
9.4 Conditions for stability and coexistence
9.5 Application for LTE load balancing
9.6 Validation and results
9.7 Conclusions
Chapter 10: Multiobjective Optimization in Optical Networks
Abstract
10.1 Introduction
10.2 Multiobjective optimization
10.3 RWA Problem
10.4 WCA Problem
10.5 p-Cycle protection
10.6 Conclusions
Chapter 11: Cell-Coverage-Area Optimization Based on Particle Swarm Optimization (PSO) for Green Macro Long-Term Evolution (LTE) Cellular Networks
Abstract
Acknowledgment
11.1 Introduction
11.2 Related works
11.3 Mechanism of proposed cell-switching scheme
11.4 System model and problem formulation
11.5 PSO algorithm
11.6 Simulation results and discussion
11.7 Conclusion
Chapter 12: Bio-Inspired Computation for Solving the Optimal Coverage Problem in Wireless Sensor Networks: A Binary Particle Swarm Optimization Approach
13.3 Clonal-Selection-Based algorithms for the channel assignment problem
13.4 Performance evaluation
13.5 Concluding remarks
Index
No. of pages: 348
Language: English
Edition: 1
Published: February 6, 2015
Imprint: Morgan Kaufmann
Paperback ISBN: 9780128015384
eBook ISBN: 9780128017432
XY
Xin-She Yang
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).
Affiliations and expertise
School of Science and Technology, Middlesex University, UK
SC
Su Fong Chien
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).
Affiliations and expertise
Associate Professor of Engineering & Technology, Multimedia University, Selangor, Malaysia
TT
T.O. Ting
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.
Affiliations and expertise
Lecturer, Department of Electrical and Electronic Engineering, Xian Jiaotong-Liverpool University, Jiangsu, China
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