{"title":"Quantitative analysis of segmented satellite network architectures: A maritime surveillance case study","authors":"","doi":"10.1016/j.comnet.2024.110874","DOIUrl":null,"url":null,"abstract":"<div><div>This paper presents an in-depth trade-off analysis of a Swarm Satellite Constellation (SSC) Mission for Earth observation that leverages Segmented Architecture (SA), a concept designed by the Argentinian Space Agency (CONAE) within the New Space philosophy. This architecture consists of a scenario featuring a networked constellation of small, cooperative satellites to enhance mission flexibility, reliability, coverage, and cost-effectiveness. Despite its promising prospects, SA features challenges in its mission design and definition phases due to the complex interplay between distributed space systems, technological innovation, and geographical landscapes. Our study analyzes an innovative quantitative analysis framework integrated with Ansys’ Systems Toolkit (STK). The resulting software tool models critical components, including ground and space segments, orbital dynamics, coverage, onboard processing, and communication links. We focus on a hypothetical SARE mission to detect illicit maritime activity near Argentina’s Exclusive Economic Zone (EEZ). This case study constitutes an archetypal mission elucidating the architecture’s benefits and complexities, addressing swarm coverage, contact dynamics, and data handling strategies. Results contribute to discussions on the practical trade-off in current and future Segmented Satellite Architectures with multiple mission objectives.</div></div>","PeriodicalId":50637,"journal":{"name":"Computer Networks","volume":null,"pages":null},"PeriodicalIF":4.4000,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Networks","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1389128624007060","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents an in-depth trade-off analysis of a Swarm Satellite Constellation (SSC) Mission for Earth observation that leverages Segmented Architecture (SA), a concept designed by the Argentinian Space Agency (CONAE) within the New Space philosophy. This architecture consists of a scenario featuring a networked constellation of small, cooperative satellites to enhance mission flexibility, reliability, coverage, and cost-effectiveness. Despite its promising prospects, SA features challenges in its mission design and definition phases due to the complex interplay between distributed space systems, technological innovation, and geographical landscapes. Our study analyzes an innovative quantitative analysis framework integrated with Ansys’ Systems Toolkit (STK). The resulting software tool models critical components, including ground and space segments, orbital dynamics, coverage, onboard processing, and communication links. We focus on a hypothetical SARE mission to detect illicit maritime activity near Argentina’s Exclusive Economic Zone (EEZ). This case study constitutes an archetypal mission elucidating the architecture’s benefits and complexities, addressing swarm coverage, contact dynamics, and data handling strategies. Results contribute to discussions on the practical trade-off in current and future Segmented Satellite Architectures with multiple mission objectives.
期刊介绍:
Computer Networks is an international, archival journal providing a publication vehicle for complete coverage of all topics of interest to those involved in the computer communications networking area. The audience includes researchers, managers and operators of networks as well as designers and implementors. The Editorial Board will consider any material for publication that is of interest to those groups.