Conceptual Design of Space Missions Integrated with Real-Time, In Situ Sensors

Chell, Brian; Levine, Martin D.; Capra, Leigha; Sellers, Jerry J.; Grogan, Paul T.

doi:10.31224/2408

Cited by 1 publication

(2 citation statements)

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“…9,10 DSMs are well-suited for fostering partnerships with collaborators across organizational and even national boundaries, 9 allowing the aggregation of data from many sources. This data can include in situ sensors such as stream gauges 11 or seismometers, or commercial space imagery. This distribution of data sources can be taken a step further to include a "SensorWeb," where ground-and air-based sensor nodes are included to give an overall picture of the Earth system.…”

Section: Distributed Space Missionsmentioning

confidence: 99%

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New observing strategies testbed: A digital prototyping platform for distributed space missions

Chell

Levine

Capra

et al. 2023

Systems Engineering

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The New Observing Strategies Testbed (NOS‐T) is a digital engineering environment for enabling distributed space mission (DSM) technology demonstrations. Its event‐driven architecture enables users to orchestrate DSM test campaigns by developing applications that communicate state changes via messages. NOS‐T is motivated by requirements such as geographical distribution, cross‐boundary participation, wide applicability, and usability that make it unique in this field. This article introduces NOS‐T and describes its architecture in the context of an example DSM test suite, FireSat+. The scalability of NOS‐T is demonstrated with a performance assessment of its capabilities under a stress test of high message frequency and payload size, which are both related to the complexity of potential user‐generated test cases. Results show that message periodicity has no significant effect on median delay time over the ranges sampled; however, the message payload size induces linear growth in median delay time of approximately 1.5 ms per kB. Future NOS‐T applications can adjust the execution time scaling factor and message payload size to match operational constraints on allowable delay.

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Section: Distributed Space Missionsmentioning

confidence: 99%

“…FireSat+ example 11,31,34,36 and further iterations are possible. Applications could be modified to enable evaluation of other performance metrics, such as observation resolution and communications bandwidth around areas vulnerable to fires.…”

Section: New Test Campaigns Have Been Designed By Extending On Thismentioning

confidence: 99%