Embedding Evolution in Epidemic-Style Forwarding

Abstract : In this work, we introduce a framework to let forwarding schemes evolve in order to adapt to changing and a priori unknown environments. The framework is inspired by genetic algorithms: at each node a genotype describes the forwarding scheme used, a selection process fosters the diffusion of the fittest genotypes in the system and new genotypes are created by combining existing ones or applying random changes. A case study implementation is presented and its performance evaluated via numerical simulations.
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Sara Alouf, Iacopo Carreras, Daniele Miorandi, Giovanni Neglia. Embedding Evolution in Epidemic-Style Forwarding. IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems (MASS 2007), Oct 2007, Pisa, Italy. ⟨10.1109/MOBHOC.2007.4428686⟩. ⟨hal-00641273⟩

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