Satellite resource description and search based on hybrid granularity

Liu, Qingli; Li, Yao

doi:10.1109/icnsc.2018.8361278

Cited by 4 publications

(2 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…S ATELLITE networks have been widely used in Earth observation missions, such as disaster detection, loss assessment, and reconnaissance. Due to the high dynamic topology of the satellite networks, the efficient representation of its timevarying resources is attracting the attention of researchers [1] [2]. In addition, in satellite networks, the link discontinuity and limited transceiver and power resources bring severe difficulties of ensuring qualified network performance [3] [4].…”

Section: Introductionmentioning

confidence: 99%

Energy Efficient Maximal Throughput Resource Scheduling Strategy in Satellite Networks

Shuai

Liu

Wang

2023

IEEE Wireless Commun. Lett.

View full text Add to dashboard Cite

In this letter, a greedy routing strategy is proposed for resource scheduling in Earth observation mission to achieve the maximum throughput and improve the energy efficiency. Resource time-expanded graph (RTEG) is introduced to depict the time-evolving topology and resources of satellite networks. Based on RTEG, an energy efficient resource allocation algorithm (EERA) is designed to reduce the total energy consumption and maximize the throughput in data transmission by properly scheduling the transceiver resource, storage resource and power resource of satellites. Simulation results show that EERA achieves preferred energy efficiency when reaching the maximum throughput.

show abstract

Section: Introductionmentioning

confidence: 99%

Energy Efficient Maximal Throughput Resource Scheduling Strategy in Satellite Networks

Shuai

Liu

Wang

2023

IEEE Wireless Commun. Lett.

View full text Add to dashboard Cite

show abstract

“…In [4], due to the heterogeneity of satellite networks (multi-type networks), resulting in the lack of unified organizational planning and its complex and difficult to describe problems, the underlying resources of satellites are divided into four categories, namely processor resources, orbit resources, and communication resources, load resource class. The above-mentioned literature analyzes the resource classification of satellite networks in a coarse-grained manner, and does not perform finegrained description and analysis on various resources, and they all target satellite communication tasks without considering satellite remote sensing, processing and other tasks.…”

Section: Introductionmentioning

confidence: 99%

Satellite Network Resource Association Analysis and Collaborative Optimization Method

Wei¹,

Zhang²,

Li³

et al. 2019

Proceedings of the 3rd International Conference on Computer Engineering, Information Science &Amp; Application Technology (ICCI

View full text Add to dashboard Cite

With the continuous development of satellites, the number and types of satellites continue to grow, people are increasingly demanding satellites, and the demand for satellite networks is increasing. Due to the wide coverage of the satellite, the long distance from the ground, the high dynamics, and many types, the difficulty of satellite network resource management is increased, resulting in a series of problems such as improper resource management and idle resources in the satellite network. In view of the above problems, this paper firstly uses the coarse-grained method to classify the satellite network's multi-dimensional resources and uses the characteristic parameters of the resource elements to perform fine-grained characterization and analysis of the satellite network resources; then, because the single resource element can't meet the needs of various tasks of the satellite network, a multi-dimensional resource element association algorithm for satellite networks is proposed; finally, for the multi-dimensional resource collaborative optimization problem, a resource conversion strategy is pro proposed to solve the problem of resource shortage in satellite network communication. After simulation verification, the resource conversion strategy is better than the traditional method under the shortage of satellite network communication resources.

show abstract

Multimedia Call Admission Control for Mobile Terminals in Geostationary Satellite Networks

Imole

Walingo

2019

2019 Ieee Africon

View full text Add to dashboard Cite

Satellite resource description and search based on hybrid granularity

Cited by 4 publications

References 7 publications

Energy Efficient Maximal Throughput Resource Scheduling Strategy in Satellite Networks

Energy Efficient Maximal Throughput Resource Scheduling Strategy in Satellite Networks

Satellite Network Resource Association Analysis and Collaborative Optimization Method

Multimedia Call Admission Control for Mobile Terminals in Geostationary Satellite Networks

Contact Info

Product

Resources

About