Publications Conference paper · Delay-tolerant networks · 2018
Modeling Routing in Scheduled Delay Tolerant Networks Under Uncertainties
School on Systems and Networks (SSN), vol. 2178, pp. 94–97, 2018
Abstract
Collaborative Earth observation satellite constellations are arising as a new paradigm with important advantages in comparison with traditional monolithic systems. In this context, Disruptions Tolerant Networking (DTN) protocols were proposed to provide efficient and autonomous store-carry-and-forward data transport. Although a scheduled contact plan can be used to optimize routing and data delivery metrics, significant challenges remain in studying the ability to recover from unplanned events. In order to evaluate different routing schemes under failures, we propose a framework based on Markov Chains and Probabilistic Computation Tree Logic which allows its comparison in terms of either the expected throughput or the probability of fulfilling a given mission. This approach provides considerable advantages with respect to traditional simulations since it allows the computation of expected values of network metrics instead of approximations without any error estimation.
Cite
BibTeX
@inproceedings{DBLP:conf/ssn/RavertaMFF18,
author = {Fernando D. Raverta and Pablo G. Madoery and Juan A. Fraire and Jorge M. Finochietto},
editor = {Sandra C{\'{e}}spedes and Javier Bustos{-}Jim{\'{e}}nez},
title = {Modeling Routing in Scheduled Delay Tolerant Networks Under Uncertainties},
booktitle = {School on Systems and Networks (SSN)},
series = {{CEUR} Workshop Proceedings},
volume = {2178},
pages = {94--97},
publisher = {CEUR-WS.org},
year = {2018},
url = {https://ceur-ws.org/Vol-2178/SSN2018\_paper\_33.pdf}
}