Xin-She Yang,
Xin-She (School of Science and Technology, Middlesex University, UK) Yang,
Su Fong Chien,
Su Fong (Associate Professor of Engineering & Technology, Multimedia University, Selangor, Malaysia) Chien,
T.O. Ting,
T.O. (Lecturer, Department of Electrical and Electronic Engineering, Xian Jiaotong-Liverpool University, Jiangsu, China) Ting
e.a.
Elsevier Science
e druk, 2015
9780128015384
Bio-Inspired Computation in Telecommunications
Specificaties
Paperback, blz.
|
Engels
Elsevier Science |
e druk, 2015
ISBN13: 9780128015384
Rubricering
Levertijd ongeveer 8 werkdagen
Samenvatting
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.
Specificaties
ISBN13:9780128015384
Taal:Engels
Bindwijze:Paperback
Uitgever:Elsevier Science
Hoofdrubriek:Diversen, Computer en informatica
Inhoudsopgave
<p>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</p>