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An Energy Efficient Multicast Algorithm for Temporal Networks

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Wireless and Satellite Systems (WiSATS 2019)

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Abstract

Investigating the energy efficient multicast problem in space-ground integrated network (SGIN) is of vital importance for saving satellites transmission resources. However, the time-varying feature of network topology and resources poses great challenges to energy efficient multicast in SGIN. In this paper, we propose an approximation algorithm based on the modified time-expanded graph to minimize energy consumption while completing multicast transmission. At first, the SGIN is depicted by traditional time-expanded graph to capture the correlations between time-varying network resources. Then, to characterize the energy efficient multicast problem for temporal networks, we extend such graph to the Time Expanded Graph for Multicast (TEGM) by adding auxiliary aggregated destination vertices and aggregating edges. Finally, according to TEGM, an approximation algorithm for energy efficient multicast problem is proposed on the basis of the approach presented by Watel to solve the corresponding Directed Steiner Tree problem (DST). Besides, simulation results are conducted to illustrate the superiority of proposed algorithm over that based on dynamic trees.

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Acknowledgments

This work is supported by the National Natural Science Foundation of China (61871456, 91638202, 61401326, 61571351), the National Key Research and Development Program of China (2016YFB0501004), the National S&T Major Project (2015ZX03002006), the 111 Project (B08038), Natural Science Basic Research Plan in Shaanxi Province of China (2016JQ6054).

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Correspondence to Hongyan Li .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Shi, K., Li, H., Wang, P., Zhang, T. (2019). An Energy Efficient Multicast Algorithm for Temporal Networks. In: Jia, M., Guo, Q., Meng, W. (eds) Wireless and Satellite Systems. WiSATS 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 280. Springer, Cham. https://doi.org/10.1007/978-3-030-19153-5_36

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  • DOI: https://doi.org/10.1007/978-3-030-19153-5_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-19152-8

  • Online ISBN: 978-3-030-19153-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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