DtnSim: Bridging the Gap between Simulation and Implementation of Space-Terrestrial DTNs

Fraire, Juan A.; Madoery, Pablo G.; Raverta, Fernando D.; Finochietto, Jorge M.; Velazco, Raoul

doi:10.1109/smc-it.2017.27

Cited by 20 publications

(14 citation statements)

References 14 publications

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“…When CGR operation in a large system needs to be analyzed over a long period of time (i.e., days or weeks), accelerated simulation is preferred. For this purpose, DtnSim [20] includes a direct interface to the ION routing library that is adapted to run in simulation time. The CGR variants studied in this paper are also implemented in DtnSim, expressed in C++ language.…”

Section: B Implementations and Experimentsmentioning

confidence: 99%

“…This work differs from [14] inasmuch as we survey the modeling and algorithmic aspects of CGR, rather than only the experimental and high-level technological achievements. Moreover, the presented content originates from authors' first-hand experience with CGR in (i) its implementation in flight-grade protocol stacks [15], [16], (ii) its standardization efforts for Internet and space operations [17]- [19], and (iii) extensive simulation and emulation research [20]. However, much of the published research on CGR assumes the reader is already knowledgeable on the subject, while standardization recommendations only provide high-level procedure descriptions and implementations are hard to interpret.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Routing in the Space Internet: A contact graph routing tutorial

Fraire

Jonckère

Burleigh

2021

Journal of Network and Computer Applications

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Section: B Implementations and Experimentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Routing in the Space Internet: A contact graph routing tutorial

Fraire

Jonckère

Burleigh

2021

Journal of Network and Computer Applications

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“…Simulations are run for each of the methods in Table 1 under increasing traffic injection (more bundles of the same size are generated). DtnSim 5 is the chosen event-driven simulation platform as it eases the study of several runs [29] .…”

Section: Simulation Analysismentioning

confidence: 99%

On route table computation strategies in Delay-Tolerant Satellite Networks

et al. 2018

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a b s t r a c tDelay-Tolerant Networking (DTN) has been proposed for satellite networks with no expectation of continuous or instantaneous end-to-end connectivity, which are known as Delay-Tolerant Satellite Networks (DTSNs). Path computation over large and highly-dynamic yet predictable topologies of such networks requires complex algorithms such as Contact Graph Routing (CGR) to calculate route tables, which can become extremely large and limit forwarding performance if all possible routes are considered. In this work, we discuss these issues in the context of CGR and propose alternatives to the existing route computation scheme: first-ending, first-depleted, one-route , and per-neighbor strategies. Simulation results over realistic DTSN constellation scenarios show that network flow metrics and overall calculation effort can be significantly improved by adopting these novel route table computation strategies. .ar (J.A. Fraire).DTN can be precisely computed in advance based on orbital elements. Also, power-conserving spacecrafts may communicate on infrequent, fixed intervals established by configuration. In any case, forthcoming episodes of communications (a.k.a. contacts ) are typically scheduled weeks or months before they occur and can be imprinted in a contact plan . The resulting contact plan can be either distributed in advance to DTN nodes, or used by a centralized node (i.e., mission control) to execute route determination procedures.A DTN paradigm can indeed be used to forward data on near-Earth satellite networks with sporadic satellite-to-satellite and satellite-to-ground communication opportunities. If so, we define them as Delay-Tolerant Satellite Networks (DTSNs). DTSNs differ from other space DTNs in the size of the topology and the speed at which it changes. In particular, interplanetary networks are rather scarce in terms of spacecrafts as a few rovers on a remote planet plus some orbiters are typically assumed in the literature [7] . While this density of deep-space nodes is unlikely to change in the near future, DTSNs topologies are expected to be promptly based on dozens or even hundreds of satellites [1] . Furthermore, while in interplanetary DTNs the topological changes are dictated by planetary dynamics, communication opportunities in DTSNs typically occur much more frequently between satellites in Low-Earth Orbit (LEO). As a result, the scalability limits of current DTN protocols and algorithms are likely to be met sooner in DTSN than in deep-space applications. Thus, DTSNs become an immediate object of study for evaluating efficient routing strategies which will also, in the long term, be valuable in the interplanetary domain.

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“…STK further does not support the integration of custom modules implemented by users such as link and network protocols. To overcome this restriction, DtnSim [1] was developed, which uses STK to perform geometric and communication range calculations and import resulting contact plans into an OMNeT++ simulation. A drawback of this approach is that directional antennas, interference, and attitude simulations cannot be integrated in the network simulation, since the contact plan only contains topology information.…”

Section: Introductionmentioning

confidence: 99%

ESTNeT: a discrete event simulator for space-terrestrial networks

et al. 2020

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The capabilities of small satellites have improved significantly in recent years. Specifically multi-satellite systems become increasingly popular, since they allow the support of new applications. The development and testing of these multi-satellite systems is a new challenge for engineers and requires the implementation of appropriate development and testing environments. In this paper, a modular network simulation framework for space–terrestrial systems is presented. It enables discrete event simulations for the development and testing of communication protocols, as well as mission-based analysis of other satellite system aspects, such as power supply and attitude control. ESTNeT is based on the discrete event simulator OMNeT++ and will be released under an open source license.

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DtnSim: Bridging the Gap between Simulation and Implementation of Space-Terrestrial DTNs

Cited by 20 publications

References 14 publications

Routing in the Space Internet: A contact graph routing tutorial

Routing in the Space Internet: A contact graph routing tutorial

On route table computation strategies in Delay-Tolerant Satellite Networks

ESTNeT: a discrete event simulator for space-terrestrial networks

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