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Distributed Node Scheduling Algorithms for Multiple Group Communications in Wireless Multi-hop Networks

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Quality, Reliability, Security and Robustness in Heterogeneous Networks (QShine 2016)

Abstract

We study the scheduling problem in performing multiple multicast communications in wireless multi-hop networks, it is necessary to ensure that each multicast group can complete one transmission from the source to all the destination nodes without conflict in every frame. The present study proposes two distributed token-based STDMA node scheduling algorithms which not only satisfy this requirement, but also minimize the frame length. In the first algorithm, the multicast groups are scheduled on a group-by-group basis, whereas in the second algorithm, multiple groups are scheduled in each scheduling operation. The first algorithm has the advantages of computational simplicity and a straightforward implementation, while the second algorithm increases the percentage of reused time slots and reduces the number of token forwarding events. The simulation results show that both algorithms achieve a shorter frame length than existing methods.

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Acknowledgement

This work was supported in part by the Ministry of Science and Technology, R.O.C. under Grants MOST 103-2221-E-006 -146 -MY3 and MOST 104-2221-E-041-007, Ministry of Education, R.O.C. under Grant 104C-77-016.

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Correspondence to Jung-Shian Li .

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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Liu, IH., Liu, CG., Liu, KH., Yu, SH., Su, ZY., Li, JS. (2017). Distributed Node Scheduling Algorithms for Multiple Group Communications in Wireless Multi-hop Networks. In: Lee, JH., Pack, S. (eds) Quality, Reliability, Security and Robustness in Heterogeneous Networks. QShine 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 199. Springer, Cham. https://doi.org/10.1007/978-3-319-60717-7_12

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  • DOI: https://doi.org/10.1007/978-3-319-60717-7_12

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-60717-7

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