Cited time in webofscience Cited time in scopus

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dc.contributor.author Kim, Taeyeoun -
dc.contributor.author Kwak, Jeongho -
dc.contributor.author Choi, Jihwan P. -
dc.date.accessioned 2021-12-22T08:00:01Z -
dc.date.available 2021-12-22T08:00:01Z -
dc.date.created 2021-12-17 -
dc.date.issued 2022-08 -
dc.identifier.issn 2327-4662 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/15960 -
dc.description.abstract For 5G and 6G communications, satellites are drawing great attention for global coverage extension and 3-dimensional mobility enhancement. With advancements of satellite hardware, functional satellites are expected to be applied for 6G internet of things (IoT) services. In particular, because IoT service has a relatively low computational burden, it is more feasible for satellite edge computing (SatEC) with limited power, making IoT supportable SatEC one of the economically feasible applications for future satellite networks. In this paper, an architecture of IoT supportable SatEC is analyzed, and the corresponding network slice scheduling is proposed. First, a multi-objective optimization problem for IoT supportable SatEC is formulated with respect to latency, computational power, and transmission power attenuation. The problem is solved for the satellite offloading rate and altitude by using a heuristic algorithm in low time-complextiy with time-varying satellite constellation topology and various service requirements for simulations. Next, to analyze the expandability of the SatEC IoT network, a sliced SatEC IoT scheduling problem is formulated in the normalized weighted sum of latency, computational power, and transmission power attenuation. Scheduling rules are proposed to prioritize various applications with the results of the scheduling problem and with the proper SatEC offloading rates pre-defined in the Pareto-optimality of the satellite edge multi-objective Tabu search (SE-MOTS). Finally, efficient satellite constellations are determined by comparing low earth orbit (LEO) and very low earth orbit (VLEO) satellite networks, in terms of proper satellite altitudes and offloading strategies for IoT supportable SatEC. Based on simulation results, a scheduling rule for sliced satellite network and a proper offloading strategy of different slices are proposed, and an appropriate altitude of the satellite network for sliced SatEC is discussed. IEEE -
dc.language English -
dc.publisher Institute of Electrical and Electronics Engineers Inc. -
dc.title Satellite Edge Computing Architecture and Network Slice Scheduling for IoT Support -
dc.type Article -
dc.identifier.doi 10.1109/JIOT.2021.3132171 -
dc.identifier.scopusid 2-s2.0-85120912643 -
dc.identifier.bibliographicCitation IEEE Internet of Things Journal, v.9, no.16, pp.14938 - 14951 -
dc.description.isOpenAccess FALSE -
dc.subject.keywordAuthor edge computing -
dc.subject.keywordAuthor Edge computing -
dc.subject.keywordAuthor Internet of Things -
dc.subject.keywordAuthor network slicing -
dc.subject.keywordAuthor Network slicing -
dc.subject.keywordAuthor Processor scheduling -
dc.subject.keywordAuthor satellite IoT -
dc.subject.keywordAuthor satellite network -
dc.subject.keywordAuthor Satellites -
dc.subject.keywordAuthor Servers -
dc.subject.keywordAuthor Task analysis -
dc.subject.keywordAuthor undirected graph. -
dc.subject.keywordPlus OPTIMIZATION -
dc.subject.keywordPlus CHALLENGES -
dc.subject.keywordPlus ALLOCATION -
dc.subject.keywordPlus EFFICIENT -
dc.subject.keywordPlus QOS -
dc.subject.keywordPlus 5G -
dc.citation.endPage 14951 -
dc.citation.number 16 -
dc.citation.startPage 14938 -
dc.citation.title IEEE Internet of Things Journal -
dc.citation.volume 9 -
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Department of Electrical Engineering and Computer Science Intelligent Computing & Networking Laboratory 1. Journal Articles

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