無線マルチホップ通信の確率的性能予測手法
無線マルチホップ通信の確率的性能予測手法
カテゴリ: 論文誌(論文単位)
グループ名: 【C】電子・情報・システム部門
発行日: 2017/05/01
タイトル(英語): A Stochastic Performance Estimation Method for Wireless Multi-hop Network
著者名: 森 静奈(慶應義塾大学理工学部システムデザイン工学科),矢向 高弘(慶應義塾大学理工学部システムデザイン工学科)
著者名(英語): Shizuna Mori (Department of System Design Engineering, Faculty of Science and Technology, Keio University), Takahiro Yakoh (Department of System Design Engineering, Faculty of Science and Technology, Keio University)
キーワード: 確率的ネットワーク計算,無線マルチホップ通信,性能予測手法 Stochastic network calculus,wireless multi-hop network,performance estimation method
要約(英語): M2M (machine-to-machine) is required and spreads rapidly in recent years. Wireless multi-hop communication is one of the communication styles to construct M2M. However, the performance estimation of such wireless multi-hop communication is not so easy because the bit error ratio and symbol rate adaptation heavily depend on various environmental conditions. Stochastic network calculus (SNC) is a theory for the performance estimation of network. However, current SNC lacks ways to take wireless random errors, branching and joining of traffic flows into calculation, these are necessary to estimate the performance of sink-tree wireless-sensor network. This paper proposed a performance estimation method for sink-tree wireless multi-hop network based on SNC. The proposed method has three attractive points. Firstly, this introduces parameters of hop number and node number considering wireless random error due to packet collision. Secondly, this treats actual sink-tree network model by considering joining of traffic. Thirdly, this separates the service curve and bounding function calculation to avoid double counting. To evaluate the accuracy of the result of the proposed method, conventional estimation methods and simulation evaluation were conducted on a typical wireless multi-hop sensor data collection network. The results validate that the proposed method achieves much higher-accuracy than conventional methods.
本誌: 電気学会論文誌C(電子・情報・システム部門誌) Vol.137 No.5 (2017)
本誌掲載ページ: 701-708 p
原稿種別: 論文/日本語
電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/137/5/137_701/_article/-char/ja/
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