Bio-Inspired Computation in Telecommunications

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. INDICE: Bio-Inspired Computation and Optimization: An Overview Bio-inspired Approaches in Telecommunications Firefly Algorithm in TelecommunicationsA Survey of Intrusion Detection Systems Using Evolutionary ComputationVoIP 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 NetworksRobust Transmission for Heterogeneous Networks with Cognitive Small CellsEcologically-inspired Resource Distribution Techniques for Sustainable Communication NetworksMulti-objective Optimization in Optical NetworksCell Coverage Area Optimization based on Particle Swarm Optimization (PSO) for Green Macro Long-term Evolution (LTE) Cellular NetworkBio-Inspired Computation for Solving the Optimal Coverage Problem in Wireless Sensor Networks: A Binary Particle Swarm Optimization Approach Clonal Selection based Minimum Interference Channel Assignment Algorithms for Multi-radio Wireless Mesh Networks

• ISBN: 978-0-12-801538-4
• Editorial: Morgan Kaufmann
• Encuadernacion: Rústica
• Páginas: 336
• Fecha Publicación: 15/02/2015
• Nº Volúmenes: 1
• Idioma: Inglés