Bioinspired Models of Network, Information, and Computing Systems: 4th International Conference, BIONETICS 2009, Avignon, France, December 9-11, 2009, Revised Selected Papers

Front Cover\r......Page 1
Preface......Page 6
Organization......Page 8
Table of Contents......Page 12
Problem......Page 14
Game Theory......Page 15
Cooperative Hunting......Page 16
Initial Assumptions......Page 17
Experimental Results......Page 18
Conclusion......Page 19
References......Page 20
Introduction......Page 24
Fraglets......Page 25
A Threat Model for Fraglets......Page 27
Specification and Execution of Fraglets in Maude......Page 29
A Case Study: Fraglets-Based NSPK......Page 32
Conclusions......Page 34
References......Page 35
Introduction......Page 37
CEAS in a Nutshell......Page 38
Elite Selection......Page 40
Stagnation Caused by Non Returning Ants......Page 41
Selective Evaporation on Forward......Page 43
Related Work......Page 45
References......Page 46
Introduction......Page 49
Backgroud: Evolutionary Game Theory......Page 50
Evolutionarily Stable Strategies......Page 51
Replicator Dynamics......Page 52
Immunologically-Inspired Adaptation Behavior Selection......Page 53
Stability Analysis......Page 55
Simulation Results......Page 57
Related Work......Page 60
References......Page 61
Introduction......Page 63
Concept......Page 64
Situated Adaptive Forwarding (SAF)......Page 66
Service Oriented Forwarding (SOF)......Page 71
Simulations......Page 73
Conclusions......Page 75
References......Page 76
Introduction......Page 78
System Model......Page 80
Simulation Model......Page 82
Simulation Results......Page 83
Prototype......Page 85
Conclusion and Future Work......Page 86
References......Page 87
Appendix......Page 88
Introduction......Page 90
Bionets Communication Exchanges......Page 92
Distributed Mobile Networks: Economic Paradigms......Page 93
BEBS Model Fundamentals......Page 94
The Model......Page 95
Results......Page 97
Remarks on BEBS......Page 98
References......Page 99
Introduction......Page 101
Epidemic Data Spreading......Page 102
Evolutionary Mobile Services......Page 103
Simulating an Opportunistic Network......Page 105
Current Research Work......Page 106
References......Page 107
Introduction......Page 108
Highway Generation......Page 109
Protocols Description......Page 110
Numerical Results......Page 111
References......Page 115
Introduction......Page 116
Network Model......Page 117
Constrained *- ast Problem......Page 118
Probabilistic Analysis......Page 119
Probability Measure......Page 120
Group Communication as a CCP......Page 121
Expected *- ast Time......Page 123
Experimental Evaluation......Page 124
Simulation Results......Page 125
References......Page 127
Introduction......Page 130
The Scalar Integer-Valued Case......Page 131
General Setting......Page 132
DTNs with Variable Number of Nodes......Page 134
Mobility of the Source and the Nodes......Page 135
Conclusions......Page 136
References......Page 137
Routing in Quasi-deterministic Intermittently Connected Networks......Page 139
References......Page 141
Introduction......Page 143
Statistical Analysis of Snapshots of Graphs......Page 144
Correlation of Graph Properties......Page 145
Joint Distribution......Page 146
Global View of the Dynamics......Page 147
Dynamic Communities......Page 148
Modeling of the Dynamics......Page 149
Conclusion......Page 151
References......Page 152
Introduction......Page 153
Examples in Real World......Page 154
Extending the Suitable Method......Page 155
A New Structure to the RUP......Page 156
Disciplines for Modeling Ontogenesis......Page 157
Inputs/Outputs of Evolution Phase......Page 158
Activities of Anticipated Evolutions Requirement Discipline......Page 159
Illustrative Example......Page 160
Related Work......Page 162
Introduction......Page 165
Background and Related Work......Page 166
Embryoware: Embryonic Software......Page 167
Architecture and Components......Page 168
Sensing Process......Page 170
Differentiation Process......Page 171
Evaluation on a Decentralized Monitoring Scenario......Page 172
Cell Types and Their Behavior......Page 173
Results and Assessment......Page 174
Conclusion......Page 176
References......Page 177
Detailed Use–Case Implementation Description......Page 178
Introduction......Page 180
Motion Detection in Computer Vision......Page 181
Biological Elements......Page 182
Proposed Parallel Multi-scale Speed Detection......Page 184
Results......Page 186
Conclusions......Page 188
References......Page 189
Introduction......Page 190
Contact Criteria......Page 192
Ant-Based Model Description......Page 193
Mean Contact Time......Page 194
Distribution of Contact Time......Page 195
Conclusion......Page 196
References......Page 197
Introduction......Page 198
Multi Agents Approaches for PS......Page 199
System Functioning......Page 200
The Protocol......Page 202
Checking Process (Life Signal)......Page 203
Election Process......Page 204
Routing Process......Page 205
Conclusion......Page 206
References......Page 207
Introduction......Page 208
The Model......Page 209
Fluid Approximation......Page 211
Stochastic Approximation for Nash Equilibrium......Page 212
Global Optimum Repartition and Nash Equilibrium......Page 213
Conclusion......Page 214
References......Page 215
Author Index......Page 216