Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Rachel Dudukovich"'
Publikováno v:
Network, Vol 3, Iss 1, Pp 15-38 (2022)
This paper proposes a Software-Defined Delay Tolerant Networking (SDDTN) architecture as a solution to managing large Delay Tolerant Networking (DTN) networks in a scalable manner. This work is motivated by the planned deployments of large DTN networ
Externí odkaz:
https://doaj.org/article/b4d15a0cc155442f94f7cf3c0ef61807
Autor:
Rachel Dudukovich, Dylan Gormley, Shilpa Kancharla, Katherine Wagner, Robert Short, David Brooks, Jason Fantl, Shruti Janardhanan, Alexander Fung
Publikováno v:
IEEE Journal of Radio Frequency Identification. 6:269-283
Autor:
Alan Hylton, Jacob Cleveland, Rachel Dudukovich, Dennis Iannicca, Nadia Kortas, Blake LaFuente, John Nowakowski, Daniel Raible, Robert Short, Brian Tomko, Adam Wroblewski
Publikováno v:
2022 IEEE Aerospace Conference (AERO).
Publikováno v:
2021 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE).
Publikováno v:
2021 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW).
NASA’s future vision for interplanetary networking includes a lunar network, Cube Satellite (CubeSat) constellations, and deep space robotic missions, comprising what could be viewed as a network of networks. Delay-tolerant networking (DTN) archite
Publikováno v:
2021 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW).
The High-Rate Delay Tolerant Networking (HDTN) project has taken a distributed service-based approach to the development of a highly efficient delay tolerant networking (DTN) implementation. Through the analysis of many DTN implementations, system an
Publikováno v:
WiSEE
This paper develops the concept of a cognitive network and describes a microservice based architecture which could be used to implement such a system. Delay tolerant networking (DTN) influences the design of the architecture as well as the networking
Publikováno v:
2019 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW).
The growing popularity of small cost-effective satellites (SmallSats, CubeSats, etc.) creates the potential for a variety of new science applications involving multiple nodes functioning together to achieve a task, such as swarms and constellations.
Publikováno v:
AHS
This paper discusses a machine learning-based ap- proach to routing for delay tolerant networks (DTNs) [1]. DTNs are networks which experience frequent disconnections between nodes, uncertainty of an end-to-end path, long one-way trip times, and may
Publikováno v:
WiSEE
This paper discusses the concept and architecture of a machine learning based router for delay tolerant space networks. The techniques of reinforcement learning and Bayesian learning are used to supplement the routing decisions of the popular Contact