{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T16:23:35Z","timestamp":1783095815476,"version":"3.54.6"},"reference-count":30,"publisher":"MDPI AG","issue":"19","license":[{"start":{"date-parts":[[2021,9,23]],"date-time":"2021-09-23T00:00:00Z","timestamp":1632355200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The satellite network plays an increasingly important role in the global communication. With the development of communication technology, quality of service requirements have become more and more complex and diverse and the quality of service routing strategy of software-defined satellite network has become a more and more hot and difficult issue. In this paper, an interval-type-2 fuzzy set routing algorithm is proposed. Firstly, the multi- quality of service routing problem in software-defined satellite network is modeled. Then, the interval-type-2 fuzzy set routing algorithm is proposed to make fuzzy decisions. A series of experiments conducted in Network Simulator (Version 2.35) have proved that the proposed interval type-2 fuzzy set routing algorithm can reduce average delay, increase total throughput and reduce packet drop rate.<\/jats:p>","DOI":"10.3390\/s21196356","type":"journal-article","created":{"date-parts":[[2021,9,27]],"date-time":"2021-09-27T22:16:38Z","timestamp":1632780998000},"page":"6356","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Multi-Objective Optimisation in Multi-QoS Routing Strategy for Software-Defined Satellite Network"],"prefix":"10.3390","volume":"21","author":[{"given":"Yang","family":"Wu","sequence":"first","affiliation":[{"name":"College of Command and Control Engineering, Army Engineering University of PLA, Nanjing 210007, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guyu","family":"Hu","sequence":"additional","affiliation":[{"name":"College of Command and Control Engineering, Army Engineering University of PLA, Nanjing 210007, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fenglin","family":"Jin","sequence":"additional","affiliation":[{"name":"College of Command and Control Engineering, Army Engineering University of PLA, Nanjing 210007, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Siqi","family":"Tang","sequence":"additional","affiliation":[{"name":"College of Command and Control Engineering, Army Engineering University of PLA, Nanjing 210007, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2021,9,23]]},"reference":[{"key":"ref_1","first-page":"846","article-title":"TCP-Based M2M Traffic via Random-Access Satellite Links: Throughput Estimation","volume":"55","author":"Bacco","year":"2019","journal-title":"IEEE Trans."},{"key":"ref_2","first-page":"2624","article-title":"Architectures and key technical challenges for 5G systems incorporating satellites","volume":"68","author":"Guidotti","year":"2019","journal-title":"IEEE Trans."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1109\/MNET.2018.1800191","article-title":"Space and terrestrial integrated network: Emerging research advances, prospects, and challenges a cross-Domain SDN Architecture for Multi-Layered Space-Terrestrial Integrated Networks","volume":"33","author":"Shi","year":"2019","journal-title":"IEEE Netw."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1109\/TWC.2018.2875980","article-title":"Ultra-Dense LEO: Integrating Terrestrial-Satellite Networks into 5G and beyond for Data Offloading","volume":"18","author":"Di","year":"2019","journal-title":"IEEE Trans. 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