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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/12950

Title: Data and error rate bounds for binary data gathering wireless sensor networks
Authors: He, Xin
Zhou, Xiaobo
Juntti, Markku
Matsumoto, Tad
Issue Date: 2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Magazine name: 2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
Start page: 505
End page: 509
DOI: 10.1109/SPAWC.2015.7227089
Abstract: 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
Material Type: author
Appears in Collections:b11-1. 会議発表論文・発表資料 (Conference Papers)

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