Routing in Space Delay Tolerant Networks under Uncertain Contact Plans

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

doi:10.1109/icc.2018.8422917

Cited by 11 publications

(11 citation statements)

References 14 publications

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“…Initial CGR reliability studies followed in 2017. Dr. Juan Fraire et al showed how CGR behaved under uncertain contact plans [87], [88], for which reliable CGR variations based on state-of-the-art computer science models were introduced [89]- [91]. As discussed in Section VII, scalability as well as uncertain and opportunistic CGR extensions are among the most active and promising research lines in CGR.…”

Section: Contact Graph Routingmentioning

confidence: 99%

“…While assuming Internet-like capacity and latency, flooding approaches and probabilistic routing are unable to take advantage of the timevarying topological information provided in a flight mission's contact plan as CGR does. Contact plan awareness enables CGR to compute well-informed accurate forwarding decisions that avoid dead-ends and unwanted congestion [89] In contrast, topological information is central to the design of delay-tolerant link-state routing (DTLSR) [97]. However, in DTLSR that information is acquired automatically in the course of network operation rather than asserted during mission planning.…”

Section: E Comparison With Other Routing Algorithmsmentioning

confidence: 99%

“…Uncertain contacts: Early reliability studies indicated that CGR was able to react to divergence from contact plans by late bundle reforwarding [87], [88]. Heuristic improvements to routing in DTN under uncertain contact plans were introduced in [89], where alternative CGR metrics and copy-based forwarding were explored. In particular, considering hops count with respect to P AT proved to increase the delivery ratio.…”

Section: B Resiliencementioning

confidence: 99%

See 2 more Smart Citations

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: Contact Graph Routingmentioning

confidence: 99%

Section: E Comparison With Other Routing Algorithmsmentioning

confidence: 99%

Section: B Resiliencementioning

confidence: 99%

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Routing in the Space Internet: A contact graph routing tutorial

Fraire

Jonckère

Burleigh

2021

Journal of Network and Computer Applications

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“…CGR [74] 2018 Replication based on scheduled contact patterns with predetermined network prediction.…”

Section: R3 [33] 2011mentioning

confidence: 99%

“…Unfortunately, only one of the studies point to where their source code can be found: CGR [74]. Surely, some of them have found the way and became part of the ONE or other simulators (e.g., MaxProp, Epidemic, BubbleRap, SimBet, and ProPhet), but this is rather the exception.…”

Section: -2018mentioning

confidence: 99%

Evaluating Forwarding Protocols in Opportunistic Networks: Trends, Advances, Challenges and Best Practices

et al. 2019

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A variety of applications and forwarding protocols have been proposed for opportunistic networks (OppNets) in the literature. However, the methodology of evaluation, testing and comparing these forwarding protocols are not standardized yet, which leads to large levels of ambiguity in performance evaluation studies. Performance results depend largely on the evaluation environment, and on the used parameters and models. More comparability in evaluation scenarios and methodologies would largely improve also the availability of protocols and the repeatability of studies, and thus would accelerate the development of this research topic. In this survey paper, we focus our attention on how various OppNets data forwarding protocols are evaluated rather than what they actually achieve. We explore the models, parameters and the evaluation environments and make observations about their scalability, realism and comparability. Finally, we deduce some best practices on how to achieve the largest impact of future evaluation studies of OppNets data dissemination/forwarding protocols.

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Review of opportunistic network: Assessing past, present, and future

Sachdeva

Dev

2021

Int J Communication

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Opportunistic networks aim to deal with the unpredictable environment for data communication. Messages in opportunistic networks need to be stored with the node in the absence of any suitable forwarder. With such a storecarry-forward paradigm, it aims to eliminate challenges of no pre-determined/ fixed connectivity, absence of direct/in-direct routes from source to destination, and high error rate and delay in the network. Node carrying message roams in the network to find a suitable forwarding node. In this study, the survey for various routing protocols and mobility models for opportunistic networks is discussed along with tools available for simulations of opportunistic networks. Further, various challenges in opportunistic networks such as storage management, congestion management, and energy constraints are discussed. Many applications for the opportunistic network, along with real-time case study, are presented in the paper. The objective of the study is to provide future direction to the researchers, along with the systematic review. Hence, future objectives are discussed to mitigate the challenges faced in the current scenario. Also, based upon the study, it is observed that most researchers have taken epidemic, ProPHET, and spray and wait routing protocols as their base of study. Performance analysis for these protocols is done using opportunistic network environment (ONE) simulator.

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Routing in Space Delay Tolerant Networks under Uncertain Contact Plans

Cited by 11 publications

References 14 publications

Routing in the Space Internet: A contact graph routing tutorial

Routing in the Space Internet: A contact graph routing tutorial

Evaluating Forwarding Protocols in Opportunistic Networks: Trends, Advances, Challenges and Best Practices

Review of opportunistic network: Assessing past, present, and future

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