Evolutionary algorithms for mobile ad hoc networks /
This comprehensive guide describes how evolutionary algorithms (EA) may be used to identify, model, and optimize day-to-day problems that arise for researchers in optimization and mobile networking. It provides efficient and accurate information on dissemination algorithms, topology management, and...
Clasificación: | Libro Electrónico |
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Otros Autores: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Hoboken :
Wiley,
2014.
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Colección: | Nature-inspired computing series.
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Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- SERIES PAGE; TITLE PAGE; COPYRIGHT PAGE; DEDICATION; PREFACE; PART I: BASIC CONCEPTS AND LITERATURE REVIEW; 1 INTRODUCTION TO MOBILE AD HOC NETWORKS; 1.1 MOBILE AD HOC NETWORKS; 1.2 VEHICULAR AD HOC NETWORKS; 1.3 SENSOR NETWORKS; 1.4 CONCLUSION; REFERENCES; 2 INTRODUCTION TO EVOLUTIONARY ALGORITHMS; 2.1 OPTIMIZATION BASICS; 2.2 EVOLUTIONARY ALGORITHMS; 2.3 BASIC COMPONENTS OF EVOLUTIONARY ALGORITHMS; 2.4 PANMICTIC EVOLUTIONARY ALGORITHMS; 2.5 EVOLUTIONARY ALGORITHMS WITH STRUCTURED POPULATIONS; 2.6 MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS; 2.7 CONCLUSION; REFERENCES.
- 3 SURVEY ON OPTIMIZATION PROBLEMS FOR MOBILE AD HOC NETWORKS3.1 TAXONOMY OF THE OPTIMIZATION PROCESS; 3.2 STATE OF THE ART; 3.3 CONCLUSION; REFERENCES; 4 MOBILE NETWORKS SIMULATION; 4.1 SIGNAL PROPAGATION MODELING; 4.2 STATE OF THE ART OF NETWORK SIMULATORS; 4.3 MOBILITY SIMULATION; 4.4 CONCLUSION; REFERENCES; PART II: PROBLEMS OPTIMIZATION; 5 PROPOSED OPTIMIZATION FRAMEWORK; 5.1 ARCHITECTURE; 5.2 OPTIMIZATION ALGORITHMS; 5.3 SIMULATORS; 5.4 EXPERIMENTAL SETUP; 5.5 CONCLUSION; REFERENCES; 6 BROADCASTING PROTOCOL; 6.1 THE PROBLEM; 6.2 EXPERIMENTS; 6.3 ANALYSIS OF RESULTS; 6.4 CONCLUSION.
- 10.3 GLOBAL DISCUSSION ON THE PERFORMANCE OF THE ALGORITHMS10.4 CONCLUSION; REFERENCES; INDEX; END USER LICENSE AGREEMENT.