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このアイテムの引用には次の識別子を使用してください:
http://hdl.handle.net/10119/16702
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| タイトル: | Efficient network coding-based data transfer framework for multihop wireless communication |
| 著者: | Lin, Nyan
Tan, Yasuo
Lim, Yuto |
| キーワード: | multihop wireless communication
network coding
medium access control protocol
data transfer framework
energy efficient protocols
wireless network topology
future wireless networks |
| 発行日: | 2019-07-19 |
| 出版者: | Inderscience |
| 誌名: | International Journal of Networking and Virtual Organisations |
| 巻: | 21 |
| 号: | 1 |
| 開始ページ: | 127 |
| 終了ページ: | 159 |
| DOI: | 10.1504/IJNVO.2019.101162 |
| 抄録: | With the growing demands of wireless applications and mobile data connections, wireless communication is expected to provide the ever-increasing demand for higher data rate and efficient data communication. Energy is also one of the hot issues needed to be considered for future wireless networks. In this paper, an efficient network coding-based data transfer (E-neco) framework is developed to achieve more energy-saving and bandwidth-efficient data communication for data transmission, data collection and data sharing services. For these data transfer applications, we propose new network coding-based transmission schemes and medium access control protocols. Topology and network coding techniques are utilised in the framework. This is a conceptual framework developed for future generation wireless communication such as multihop communication, massive machine communication, device-to-device communication and new techniques can be added to support future demanding services. Simulation results reveal an improvement in terms of throughput, latency, fairness, energy consumption and network lifetime. |
| Rights: | Copyright (C) 2019 Inderscience. Nyan Lin, Yasuo Tan, Yuto Lim, International Journal of Networking and Virtual Organisations, 21(1), 2019, 127-159. |
| URI: | http://hdl.handle.net/10119/16702 |
| 資料タイプ: | author |
| 出現コレクション: | b10-1. 雑誌掲載論文 (Journal Articles)
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このアイテムのファイル:
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記述 |
サイズ | 形式 |
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| 24674.pdf | | 1412Kb | Adobe PDF | 見る/開く |
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