Bio-Inspired Computation in Telecommunications

Content: 
Front Matter, Pages i-ii
Copyright, Page iv
Preface, Pages xiii-xiv
List of Contributors, Pages xv-xvii
Chapter 1 - Bio-Inspired Computation and Optimization: An Overview, Pages 1-21
Chapter 2 - Bio-Inspired Approaches in Telecommunications, Pages 23-42
Chapter 3 - Firefly Algorithm in Telecommunications, Pages 43-72
Chapter 4 - A Survey of Intrusion Detection Systems Using Evolutionary Computation, Pages 73-94
Chapter 5 - VoIP Quality Prediction Model by Bio-Inspired Methods, Pages 95-116
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, Pages 117-140
Chapter 7 - Radio Resource Management by Evolutionary Algorithms for 4G LTE-Advanced Networks, Pages 141-163
Chapter 8 - Robust Transmission for Heterogeneous Networks with Cognitive Small Cells, Pages 165-184
Chapter 9 - Ecologically Inspired Resource Distribution Techniques for Sustainable Communication Networks, Pages 185-203
Chapter 10 - Multiobjective Optimization in Optical Networks, Pages 205-244
Chapter 11 - Cell-Coverage-Area Optimization Based on Particle Swarm Optimization (PSO) for Green Macro Long-Term Evolution (LTE) Cellular Networks, Pages 245-262
Chapter 12 - Bio-Inspired Computation for Solving the Optimal Coverage Problem in Wireless Sensor Networks: A Binary Particle Swarm Optimization Approach, Pages 263-285
Chapter 13 - Clonal-Selection-Based Minimum-Interference Channel Assignment Algorithms for Multiradio Wireless Mesh Networks, Pages 287-321
Index, Pages 323-330