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dc.contributor.authorXhafa Xhafa, Fatos
dc.contributor.authorHerrero Garcia, Xavier
dc.contributor.authorBarolli, Admir
dc.contributor.authorTakizawa, Makoto
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2017-01-16T15:19:33Z
dc.date.available2017-01-16T15:19:33Z
dc.date.issued2014
dc.identifier.citationXhafa, F., Herrero , X., Barolli, A., Takizawa, M. A Tabu Search algorithm for ground station scheduling problem. A: IEEE International Conference on Advanced Information Networking and Applications. "2014 IEEE 28th International Conference on Advanced Information Networking and Applications: IEEE AINA 2014, 13-16 May 2014, University of Victoria, Victoria, Canada: proceedings". Victoria: 2014, p. 1033-1040.
dc.identifier.isbn978-1-4799-3629-8
dc.identifier.urihttp://hdl.handle.net/2117/99330
dc.description(c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
dc.description.abstractMission planning plays an important role in satellite control systems. Satellites are not autonomously operated in many cases but are controlled by tele-commands transmitted from ground stations. Therefore, mission scheduling is crucial to efficient satellite control systems, especially with increase of number of satellites and more complex missions to be planned. In a general setting, the satellite mission scheduling consists in allocating tasks such as observation, communication, etc. to resources (spacecrafts (SCs), satellites, ground stations). One common version of this problem is that of ground station scheduling, in which the aim is to compute an optimal planning of communications between satellites and operations teams of Ground Station (GS). Because the communication between SCs and GSs can be done during specific window times, this problem can also be seen as a window time scheduling problem. The required communication time is usually quite smaller than the window of visibility of SCs to GSs, however, clashes are produced, making the problem highly constrained. In this paper we present a Tabu Search (TS) algorithm for the problem, while considering several objective functions, namely, windows fitness, clashes fitness, time requirement fitness, and resource usage fitness. The proposed algorithm is evaluated by a set of problem instances of varying size and complexity generated with the STK simulation toolkit. The computational results showed the efficacy of TS for solving the problem on all considered objectives.
dc.format.extent8 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Satèl·lits i ràdioenllaços
dc.subjectÀrees temàtiques de la UPC::Informàtica::Informàtica teòrica::Algorísmica i teoria de la complexitat
dc.subject.lcshComputer algorithms
dc.subject.lcshArtificial satellites
dc.subject.lcshMathematical optimization
dc.subject.otherGround station scheduling
dc.subject.otherLocal Search
dc.subject.otherSatellite scheduling
dc.subject.otherSatellite Simulation Toolkit
dc.subject.otherTabu Search
dc.titleA Tabu Search algorithm for ground station scheduling problem
dc.typeConference report
dc.subject.lemacAlgorismes genètics
dc.subject.lemacSatèl·lits artificials
dc.subject.lemacOptimització matemàtica
dc.contributor.groupUniversitat Politècnica de Catalunya. ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals
dc.identifier.doi10.1109/AINA.2014.151
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/document/6838778/
dc.rights.accessOpen Access
drac.iddocument15177576
dc.description.versionPostprint (author's final draft)
upcommons.citation.authorXhafa, F., Herrero , X., Barolli, A., Takizawa, M.
upcommons.citation.contributorIEEE International Conference on Advanced Information Networking and Applications
upcommons.citation.pubplaceVictoria
upcommons.citation.publishedtrue
upcommons.citation.publicationName2014 IEEE 28th International Conference on Advanced Information Networking and Applications: IEEE AINA 2014, 13-16 May 2014, University of Victoria, Victoria, Canada: proceedings
upcommons.citation.startingPage1033
upcommons.citation.endingPage1040


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