IEEE Transactions on Wireless Communications · 2017 · 49 citations · 28 references
EngineeringChannel CharacterizationJoint Source-channel CodingEdge ComputingSpace CommunicationsComputer EngineeringSystems EngineeringData DeliveryLow LatencyDeep Space CommunicationsNetwork PerformanceHigh-speed NetworkingChannel ModelUltra-low LatencyDelay-tolerant NetworkingReliable Data DeliveryBundle Protocol
The Bundle Protocol is the primary delay‑tolerant networking protocol for reliable data delivery in stressed environments, yet its performance in deep‑space links with highly asymmetric channel rates remains largely unexplored. This study develops an analytical model to evaluate the transmission performance of the Bundle Protocol over deep‑space channels characterized by extreme channel‑rate asymmetry. The model predicts expected file delivery time and goodput and is validated through data‑transfer experiments on a PC‑based test bed.
Bundle protocol (BP) is the main protocol of delay/disruption-tolerant networking which is developed to provide reliable data delivery services in a stressed communications environment. A typical application of BP is for data delivery in a challenging deep-space communication environment. However, little work has been done in analyzing the performance of BP in deep-space communications, especially in presence of highly channel-rate asymmetry. In this paper, we present analytical modeling of the transmission performance of BP over deep-space communication channels characterized by highly asymmetric channel rates. The model is built to estimate the expected file delivery time (and goodput) of the protocol for reliable data delivery in a deep-space transmission scenario. The model is validated by conducting data transfer experiments using a PC-based experimental test bed.
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A delay-tolerant network architecture for challenged internets
Kevin Fall · 2003 · 3.1K citations · Full text
A delay-tolerant network architecture for challenged internets
Kevin Fall · 2003 · 1.3K citations
Applications of error-control coding
Daniel J. Costello, J. Hagenauer, Hiroyuki Imai et al. · IEEE Transactions on Information Theory · 1998 · 341 citations
Distributed Source Coding, Engineering, Error Control Technique +14