Research Article
Towards Self-organized Networking in Large-Scale Nano-satellite Networks
@INPROCEEDINGS{10.1007/978-3-030-93398-2_25, author={Huan Han and Long Suo and Yuehong Yang and Peng Wang and Hongyan Li}, title={Towards Self-organized Networking in Large-Scale Nano-satellite Networks}, proceedings={Wireless and Satellite Systems. 12th EAI International Conference, WiSATS 2021, Virtual Event, China, July 31 -- August 2, 2021, Proceedings}, proceedings_a={WISATS}, year={2022}, month={1}, keywords={Large-scale Nano-satellite Multiple access Markov Chain Clustering network}, doi={10.1007/978-3-030-93398-2_25} }- Huan Han
Long Suo
Yuehong Yang
Peng Wang
Hongyan Li
Year: 2022
Towards Self-organized Networking in Large-Scale Nano-satellite Networks
WISATS
Springer
DOI: 10.1007/978-3-030-93398-2_25
Abstract
Nano-satellites have developed rapidly in the fields of communications and remote sensing due to their small size, low cost and flexibility, the number of which has increased dramatically. However, massive amounts of data cannot be effectively transmitted through ground stations or satellite networks due to the growth of transmission demand. To overcome the problem, the nano-satellite network clustering algorithm was designed. Specifically, by clustering nano-satellites, the cluster head can gather remote sensing data and control directives of satellite nodes in the cluster, reduce the collision probability of random transmission, improve the utilization of communication resources and network throughput. We established a random access model of nano-satellites based on a two-dimensional Markov chain, which characterizes the features of the satellite network multiple access process without a carrier sensing mechanism. We also deduce the throughput of the nano-satellite network. We obtain the optimal number of clusters according to the nano-satellite scale, link rate and traffic arrival rate. The performance of non-clustered networks and clustered networks is compared and analyzed by simulation. The result shows that the clustered network reduces the average delay and improves the efficiency of information transmission compared with the non-clustered network.
