Metaheuristic approaches for optimal broadcasting design in ... - NEO

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Description Introduction Problem Definition Multiobjective Algorithms Experiments Conclusions and Future Work Metropolitan MANETs DFCN The DFCNT multiobjective problem MANETS Stations usually are laptops, PDAs or mobile phones Mobility of stations → dynamic topology of the network Metropolitan MANETs Virtual Hot Spots (VHS): areas with high station density VHSs can appear and disappear from the network Madhoc simulator Network size: size of the simulation area Node density: number of devices Environment: mobility and wave propagation models 4km 2 , 2000 stations (500 stations/km 2 ) 6/18
Introduction Problem Definition Multiobjective Algorithms Experiments Conclusions and Future Work The DFCN broadcasting protocol Metropolitan MANETs DFCN The DFCNT multiobjective problem DFCN: Delayed Flooding with Cumulative Neighborhood Neighbor-knowledge-based method: knowledge of the 1-hop neighborhood for its operation Active management of station mobility: it is able to take new broadcasting decisions on new neighbor discovery DFCN Tunable Parameters Five different parameters for the decision making process on New message reception New neighbor connection 7/18
Page 1 and 2: Metaheuristic approaches for optima
Page 3 and 4: Introduction Problem Definition Mul
Page 5: Introduction Problem Definition Mul
Page 9 and 10: NSGA-II Introduction Problem Defini
Page 11 and 12: cMOGA Introduction Problem Definiti
Page 13 and 14: AbYSS Introduction Problem Definiti
Page 15 and 16: Hypervolume Introduction Problem De
Page 17 and 18: Hypervolume values 0.88 0.87 0.86 0

Metaheuristic approaches for optimal broadcasting design in ... - NEO

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