Titlebook: Bioinspired Models of Network, Information, and Computing Systems; 4th International Co Eitan Altman,Iacopo Carrera,Yezekael Hayel Conferen

obsolete

Gustavo Soares Guandalini,Sripal Bangaloreighways) in dense wireless sensor networks. We describe the algorithms devised and report on the outcomes of a simulation study, aimed at assessing the scalability and the performance of the proposed approach.

數(shù)量

Mouse Ex Vivo Kidney Culture Methodsto predict future node meeting opportunities. Recent research efforts consider the use of social network analysis (i.e., node communities, centralities etc.) for this forecast. However, most of these works focus on unicast. We believe that group communication is the natural basis of most application

Proponent

Anneliis Ihermann-Hella,Satu Kuureexpressions for performance measures, or have been too simplistic. In this paper we identify several classes of DTNs where the dynamics of the number of nodes that have a copy of some packet can be modeled as branching process with migration. Using recent results on such processes in a random enviro

天真

萬(wàn)靈丹

變白

endarterectomy

nitric-oxide

MIME

Ophthalmoscope