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http://hdl.handle.net/10119/11215
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| Title: | Estimation of Observation Error Probability in Wireless Sensor Networks |
| Authors: | He, Xin
Zhou, Xiaobo
Anwar, Khoirul
Matsumoto, Tad |
| Keywords: | Error probability
Estimation
CEO problem
Wireless sensor network
Log-likelihood ratio |
| Issue Date: | 2013-04-30 |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| Magazine name: | IEEE Communications Letters |
| Volume: | 17 |
| Number: | 6 |
| Start page: | 1073 |
| End page: | 1076 |
| DOI: | 10.1109/LCOMM.2013.042313.130361 |
| Abstract: | In this letter, we first of all propose for a parallel wireless sensor network (WSN) a decoding technique that well exploits the correlation knowledge of the sensing data to be transmitted from each sensor to the fusion center (FC). This letter then derives an algorithm to estimate the observation error probabilities, representing the correlation, of the links between the sensing object and sensors. The convergence of the algorithm is also evaluated. Furthermore, the comparison of bit-error-rate (BER) performance between two cases, one uses estimated observation error probabilities, the other assumes the full knowledge of the observation error probabilities, is made. The simulation results show that the difference is only around 0.3 - 0.5 dB in per-link signal-to-noise power ratio (SNR), depending on the number of sensors. |
| Rights: | This is the author's version of the work. Copyright (C) 2013 IEEE. IEEE Communications Letters, 17(6), 2013, 1073-1076. 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/10119/11215 |
| Material Type: | author |
| Appears in Collections: | b10-1. 雑誌掲載論文 (Journal Articles)
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