Evolutionary algorithms for mobile ad hoc networks / (Record no. 42641)

000 -LEADER
fixed length control field 08883nam a2200985 i 4500
001 - CONTROL NUMBER
control field 7748369
003 - CONTROL NUMBER IDENTIFIER
control field IEEE
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20191218152127.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr |n|||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 170118s2016 njua ob 001 eng d
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
Canceled/invalid LC control number 2013031419 (print)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781118833209
Qualifying information electronic
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781118341131
Qualifying information hardback
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1002/9781118833209
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (CaBNVSL)mat07748369
035 ## - SYSTEM CONTROL NUMBER
System control number (IDAMS)0b0000648584f1e1
040 ## - CATALOGING SOURCE
Original cataloging agency CaBNVSL
Language of cataloging eng
Description conventions rda
Transcribing agency CaBNVSL
Modifying agency CaBNVSL
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TK6570.M6
Item number D65 2014eb
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 621.382/1201519625
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Dorronsoro, Bernab�e,
Relator term author.
245 10 - TITLE STATEMENT
Title Evolutionary algorithms for mobile ad hoc networks /
Statement of responsibility, etc. Bernabe Dorronsoro, University of Luxembourg, Patricia Ruiz, University of Luxembourg, Gregoire Danoy, University of Luxembourg, Yoann Pigne, University of Le Havre, Pascal Bouvry, University of Luxembourg.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Hoboken, New Jersey :
Name of producer, publisher, distributor, manufacturer Computer society, IEEE, Wiley,
Date of production, publication, distribution, manufacture, or copyright notice [2014]
264 #2 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture [Piscataqay, New Jersey] :
Name of producer, publisher, distributor, manufacturer IEEE Xplore,
Date of production, publication, distribution, manufacture, or copyright notice [2014]
300 ## - PHYSICAL DESCRIPTION
Extent 1 PDF (xiv, 222 pages) :
Other physical details illustrations.
336 ## - CONTENT TYPE
Content type term text
Source rdacontent
337 ## - MEDIA TYPE
Media type term electronic
Source isbdmedia
338 ## - CARRIER TYPE
Carrier type term online resource
Source rdacarrier
490 1# - SERIES STATEMENT
Series statement Nature-inspired computing series
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Preface xiii -- PART I BASIC CONCEPTS AND LITERATURE REVIEW 1 -- 1 INTRODUCTION TO MOBILE AD HOC NETWORKS 3 -- 1.1 Mobile Ad Hoc Networks 6 -- 1.2 Vehicular Ad Hoc Networks 9 -- 1.2.1 Wireless Access in Vehicular Environment (WAVE) 11 -- 1.2.2 Communication Access for Land Mobiles (CALM) 12 -- 1.2.3 C2C Network 13 -- 1.3 Sensor Networks 14 -- 1.3.1 IEEE 1451 17 -- 1.3.2 IEEE 802.15.4 17 -- 1.3.3 ZigBee 18 -- 1.3.4 6LoWPAN 19 -- 1.3.5 Bluetooth 19 -- 1.3.6 Wireless Industrial Automation System 20 -- 1.4 Conclusion 20 -- References 21 -- 2 INTRODUCTION TO EVOLUTIONARY ALGORITHMS 27 -- 2.1 Optimization Basics 28 -- 2.2 Evolutionary Algorithms 29 -- 2.3 Basic Components of Evolutionary Algorithms 32 -- 2.3.1 Representation 32 -- 2.3.2 Fitness Function 32 -- 2.3.3 Selection 32 -- 2.3.4 Crossover 33 -- 2.3.5 Mutation 34 -- 2.3.6 Replacement 35 -- 2.3.7 Elitism 35 -- 2.3.8 Stopping Criteria 35 -- 2.4 Panmictic Evolutionary Algorithms 36 -- 2.4.1 Generational EA 36 -- 2.4.2 Steady-State EA 36 -- 2.5 Evolutionary Algorithms with Structured Populations 36 -- 2.5.1 Cellular EAs 37 -- 2.5.2 Cooperative Coevolutionary EAs 38 -- 2.6 Multi-Objective Evolutionary Algorithms 39 -- 2.6.1 Basic Concepts in Multi-Objective Optimization 40 -- 2.6.2 Hierarchical Multi-Objective Problem Optimization 42 -- 2.6.3 Simultaneous Multi-Objective Problem Optimization 43 -- 2.7 Conclusion 44 -- References 45 -- 3 SURVEY ON OPTIMIZATION PROBLEMS FOR MOBILE AD HOC NETWORKS 49 -- 3.1 Taxonomy of the Optimization Process 51 -- 3.1.1 Online and Offline Techniques 51 -- 3.1.2 Using Global or Local Knowledge 52 -- 3.1.3 Centralized and Decentralized Systems 52 -- 3.2 State of the Art 53 -- 3.2.1 Topology Management 53 -- 3.2.2 Broadcasting Algorithms 58 -- 3.2.3 Routing Protocols 59 -- 3.2.4 Clustering Approaches 63 -- 3.2.5 Protocol Optimization 64 -- 3.2.6 Modeling the Mobility of Nodes 65 -- 3.2.7 Selfish Behaviors 66 -- 3.2.8 Security Issues 67 -- 3.2.9 Other Applications 67 -- 3.3 Conclusion 68 -- References 69.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 4 MOBILE NETWORKS SIMULATION 79 -- 4.1 Signal Propagation Modeling 80 -- 4.1.1 Physical Phenomena 81 -- 4.1.2 Signal Propagation Models 85 -- 4.2 State of the Art of Network Simulators 89 -- 4.2.1 Simulators 89 -- 4.2.2 Analysis 92 -- 4.3 Mobility Simulation 93 -- 4.3.1 Mobility Models 93 -- 4.3.2 State of the Art of Mobility Simulators 96 -- 4.4 Conclusion 98 -- References 98 -- PART II PROBLEMS OPTIMIZATION 105 -- 5 PROPOSED OPTIMIZATION FRAMEWORK 107 -- 5.1 Architecture 108 -- 5.2 Optimization Algorithms 110 -- 5.2.1 Single-Objective Algorithms 110 -- 5.2.2 Multi-Objective Algorithms 115 -- 5.3 Simulators 121 -- 5.3.1 Network Simulator: ns-3 121 -- 5.3.2 Mobility Simulator: SUMO 123 -- 5.3.3 Graph-Based Simulations 126 -- 5.4 Experimental Setup 127 -- 5.5 Conclusion 131 -- References 131 -- 6 BROADCASTING PROTOCOL 135 -- 6.1 The Problem 136 -- 6.1.1 DFCN Protocol 136 -- 6.1.2 Optimization Problem Definition 138 -- 6.2 Experiments 140 -- 6.2.1 Algorithm Configurations 140 -- 6.2.2 Comparison of the Performance of the Algorithms 141 -- 6.3 Analysis of Results 142 -- 6.3.1 Building a Representative Subset of Best Solutions 143 -- 6.3.2 Interpretation of the Results 145 -- 6.3.3 Selected Improved DFCN Configurations 148 -- 6.4 Conclusion 150 -- References 151 -- 7 ENERGY MANAGEMENT 153 -- 7.1 The Problem 154 -- 7.1.1 AEDB Protocol 154 -- 7.1.2 Optimization Problem Definition 156 -- 7.2 Experiments 159 -- 7.2.1 Algorithm Configurations 159 -- 7.2.2 Comparison of the Performance of the Algorithms 160 -- 7.3 Analysis of Results 161 -- 7.4 Selecting Solutions from the Pareto Front 164 -- 7.4.1 Performance of the Selected Solutions 167 -- 7.5 Conclusion 170 -- References 171 -- 8 NETWORK TOPOLOGY 173 -- 8.1 The Problem 175 -- 8.1.1 Injection Networks 175 -- 8.1.2 Optimization Problem Definition 176 -- 8.2 Heuristics 178 -- 8.2.1 Centralized 178 -- 8.2.2 Distributed 179 -- 8.3 Experiments 180 -- 8.3.1 Algorithm Configurations 180 -- 8.3.2 Comparison of the Performance of the Algorithms 180.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 8.4 Analysis of Results 183 -- 8.4.1 Analysis of the Objective Values 183 -- 8.4.2 Comparison with Heuristics 185 -- 8.5 Conclusion 187 -- References 188 -- 9 REALISTIC VEHICULAR MOBILITY 191 -- 9.1 The Problem 192 -- 9.1.1 Vehicular Mobility Model 192 -- 9.1.2 Optimization Problem Definition 196 -- 9.2 Experiments 199 -- 9.2.1 Algorithms Configuration 199 -- 9.2.2 Comparison of the Performance of the Algorithms 200 -- 9.3 Analysis of Results 202 -- 9.3.1 Analysis of the Decision Variables 202 -- 9.3.2 Analysis of the Objective Values 204 -- 9.4 Conclusion 206 -- References 206 -- 10 SUMMARY AND DISCUSSION 209 -- 10.1 A New Methodology for Optimization in Mobile Ad Hoc Networks 211 -- 10.2 Performance of the Three Algorithmic Proposals 213 -- 10.2.1 Broadcasting Protocol 213 -- 10.2.2 Energy-Efficient Communications 214 -- 10.2.3 Network Connectivity 214 -- 10.2.4 Vehicular Mobility 215 -- 10.3 Global Discussion on the Performance of the Algorithms 215 -- 10.3.1 Single-Objective Case 216 -- 10.3.2 Multi-Objective Case 217 -- 10.4 Conclusion 218 -- References 218 -- INDEX 221.
506 1# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Restricted to subscribers or individual electronic text purchasers.
520 ## - SUMMARY, ETC.
Summary, etc. "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 mobility models to address challenges in the field. It is an ideal book for researchers and students in the field of mobile networks"--
Assigning source Provided by publisher.
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Also available in print.
538 ## - SYSTEM DETAILS NOTE
System details note Mode of access: World Wide Web
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Description based on PDF viewed 01/18/2017.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mobile communication systems.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Evolutionary computation.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Genetic algorithms.
655 #0 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
695 ## -
-- Ad hoc networks
695 ## -
-- Algorithm design and analysis
695 ## -
-- Approximation algorithms
695 ## -
-- Biological system modeling
695 ## -
-- Broadcasting
695 ## -
-- Computational modeling
695 ## -
-- Computers
695 ## -
-- Data models
695 ## -
-- Delays
695 ## -
-- Diffraction
695 ## -
-- Energy consumption
695 ## -
-- Energy management
695 ## -
-- Evolutionary computation
695 ## -
-- Genetic algorithms
695 ## -
-- Genetics
695 ## -
-- Knowledge engineering
695 ## -
-- Mobile ad hoc networks
695 ## -
-- Mobile communication
695 ## -
-- Mobile computing
695 ## -
-- Network topology
695 ## -
-- Optimization
695 ## -
-- Overlay networks
695 ## -
-- Peer-to-peer computing
695 ## -
-- Protocols
695 ## -
-- Receivers
695 ## -
-- Roads
695 ## -
-- Runtime
695 ## -
-- Sections
695 ## -
-- Sociology
695 ## -
-- Solid modeling
695 ## -
-- Statistics
695 ## -
-- Turning
695 ## -
-- Urban areas
695 ## -
-- Vehicles
695 ## -
-- Vehicular ad hoc networks
695 ## -
-- Wide area networks
695 ## -
-- Wireless communication
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element IEEE Xplore (Online Service),
Relator term distributor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Wiley,
Relator term publisher.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
International Standard Book Number 9781118341131
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Nature-inspired computing series
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified Abstract with links to resource
Uniform Resource Identifier https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=7748369

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