Abstract
Satellite networks are better alternatives to terrestrial networks because of their global coverage. Different satellite networks like GEO, MEO, and LEO can be used for the purpose of global communication. Especially, LEO satellites are more suitable for communication because of their lower propagation delays and fewer power consumptions. However, the high speed of LEO satellites is a big issue which leads to frequent cell and satellite handovers. Many techniques have been proposed to deal with satellite handover, but most of proposed techniques did not consider the situation when “the required channels are more than available channels” which causes more delays, terminations, and blocking. To handle this situation, we proposed a fuzzy C-mean cluster-based handover technique to improve the QoS of the network during handover. In the proposed technique, users (waiting for handover in a queue) are divided into clusters based on their geographic locations. Cluster heads are selected from each cluster and they act as the relay between their members and the satellite. During handover, only cluster heads reserve the channels in upcoming satellite and perform handover with their members. The experimental results prove that the proposed technique helps to reduce the handover failure, terminations, and number of waiting users, as well as it also improves the utility of network.
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Acknowledgements
This work was partially supported by the international cooperative project (20180414024GH) of Jilin Province of China and the Development Program of Science and Technology of Jilin Province (20180519012JH). In the end, authors would like to thank the reviewers who helped to improve the quality of this paper.
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Bukhari, S.U., Yu, L., Di, X.q., Chen, C., Liu, X. (2018). Fuzzy C-Mean Clustering Based: LEO Satellite Handover. In: Zhou, Q., Gan, Y., Jing, W., Song, X., Wang, Y., Lu, Z. (eds) Data Science. ICPCSEE 2018. Communications in Computer and Information Science, vol 901. Springer, Singapore. https://doi.org/10.1007/978-981-13-2203-7_26
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DOI: https://doi.org/10.1007/978-981-13-2203-7_26
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