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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/10119/12950

タイトル: Data and error rate bounds for binary data gathering wireless sensor networks
著者: He, Xin
Zhou, Xiaobo
Juntti, Markku
Matsumoto, Tad
発行日: 2015
出版者: Institute of Electrical and Electronics Engineers (IEEE)
誌名: 2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
開始ページ: 505
終了ページ: 509
DOI: 10.1109/SPAWC.2015.7227089
抄録: The goal of this paper is to provide analytical assessment that justifies the performance tendencies of practical encoding/decoding techniques for a binary data gathering wireless sensor network (WSN). The theoretical rate region of the WSN is approximately analyzed based on the Slepian-Wolf theorem. We also derive the bit error rate (BER) floor given the observation error probability by using the Poisson-binomial distribution approximation. The simulation results show that the BER performance of our proposed technique is close to theoretical limits supported by the Slepian-Wolf theorem. The extrinsic information transfer chart analysis is also used to verify the BER performance. Moreover, the simulation results show that the bit error probability floor is matched with the Poisson-binomial approximation.
Rights: This is the author's version of the work. Copyright (C) 2015 IEEE. 2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2015, 505-509. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
URI: http://hdl.handle.net/10119/12950
資料タイプ: author
出現コレクション:b11-1. 会議発表論文・発表資料 (Conference Papers)

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