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Transmission Reordering in Self-organizing Network Coordination Framework

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Abstract

By virtue of the rapid progress of IoT technology, communication devices are increasing drastically. Along with the increase, collision of transmission often happens, resulting in restricted throughput. This restriction is mainly caused by a hidden node problem. To resolve that difficulty, a promising methodology is Time Division Multiple Access (TDMA) based on a Pulse Coupled Oscillator (PCO) model. Among them, Self-organizing Network Coordination Framework (SoNCF) presents various benefits. However, in some network topologies, the performance of SoNCF is degraded because the order of random initial phases of nodes is unchanged. As described in this paper, we analyze the effect of transmission ordering on SoNCF using graph theory concepts. We also consider its extension to resolve it through reordering. Its effectiveness was confirmed through simulation.

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Correspondence to Kohji Tomita .

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

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Tomita, K., Kamimura, A. (2019). Transmission Reordering in Self-organizing Network Coordination Framework. In: Cong Vinh, P., Alagar, V. (eds) Context-Aware Systems and Applications, and Nature of Computation and Communication. ICCASA ICTCC 2018 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 266. Springer, Cham. https://doi.org/10.1007/978-3-030-06152-4_2

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  • DOI: https://doi.org/10.1007/978-3-030-06152-4_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-06151-7

  • Online ISBN: 978-3-030-06152-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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