6533b86efe1ef96bd12cc8b3

RESEARCH PRODUCT

The Random Neural Network Model for the On-line Multicast Problem

Salvatore GaglioAlfonso UrsoPietro StornioloGiuseppe Lo ReGiovanni Aiello

subject

Multicast transmissionMulticastHeuristic (computer science)Computer sciencebusiness.industryDistributed computingComputer Science::Neural and Evolutionary ComputationSteiner tree problemRandom neural networksymbols.namesakeProbabilistic neural networkLine (geometry)symbolsArtificial intelligenceStochastic neural networkbusiness

description

In this paper we propose the adoption of the Random Neural Network Model for the solution of the dynamic version of the Steiner Tree Problem in Networks (SPN). The Random Neural Network (RNN) is adopted as a heuristic capable of improving solutions achieved by previously proposed dynamic algorithms. We adapt the RNN model in order to map the network characteristics during a multicast transmission. The proposed methodology is validated by means of extensive experiments.

yearjournalcountryeditionlanguage
2005-01-01
http://hdl.handle.net/10447/4377