Paper
12 March 2021 A resource allocation algorithm based on GEO/LEO hierarchical clustering network
Author Affiliations +
Proceedings Volume 11763, Seventh Symposium on Novel Photoelectronic Detection Technology and Applications; 117634N (2021) https://doi.org/10.1117/12.2587024
Event: Seventh Symposium on Novel Photoelectronic Detection Technology and Application 2020, 2020, Kunming, China
Abstract
On the basis of multi-layer satellite network, this paper presents a GEO/LEO double-layer satellite optical network structure that can meet the global all-weather coverage. Due to the limited number of antennas on the satellite, the LEO satellites are divided into two categories according to the function. One of the categories, as cluster-head satellites, should both establish link with LEO satellites and GEO satellites. The cluster head satellites will also be grouped with the link distance as the index. Each group has the same number of satellites which communicate with the same GEO. A reasonable grouping method is used to avoid the problem of too many links being set up simultaneously with the same GEO satellite, which will affect the transmission delay and communication efficiency. In terms of route selection, the hop cost factor is introduced to improve the traditional KSP algorithm. Compared to the KSP algorithm at the cost of link distance, the designed algorithm limits the number of jumps during service transmission, so as to balance the link length and the number of hops well. Through MATLAB simulation, the proposed algorithm improves the efficiency of the utilization of interorbit link, reduces blocking rate, and makes the resource allocation more reasonable.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chendi Feng, Yufei Shen, Guixing Cao, Qi Zhang, Ying Tao, Qinghua Tian, Dong Chen, Wei Zhang, Cong Li, Zihe Gao, and Yiqiang Li "A resource allocation algorithm based on GEO/LEO hierarchical clustering network", Proc. SPIE 11763, Seventh Symposium on Novel Photoelectronic Detection Technology and Applications, 117634N (12 March 2021); https://doi.org/10.1117/12.2587024
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