IEICE TRANSACTIONS on Communications
Error Probability Analysis of Majority Decision in Tree Network Composed of BSC
Summary :
A path diversity is an effective technique to get highly reliable communications in the sensor network. In this paper, the path diversity is examined for a tree network composed of binary symmetric channels (BSC) from the view point of bit error probability (BEP). End-nodes of the network are connected to a fusion center, which sums up the received data. The probability density function (pdf) of decision variable conditioned on a source node data is derived by an iterative algorithm to obtain BEP. Numerical results show that in the case of a majority decision, BEP at the fusion center is almost the same as the BSC crossover probability due to the path diversity effects, even if the number of relay links increases.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E94-B No.2 pp.562-564
- Publication Date
- 2011/02/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E94.B.562
- Type of Manuscript
- LETTER
- Category
- Network
Authors
Keyword
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Kazutaka NISHINO, Shinji TANI, Ikuo OKA, Shingo ATA, "Error Probability Analysis of Majority Decision in Tree Network Composed of BSC" in IEICE TRANSACTIONS on Communications,
vol. E94-B, no. 2, pp. 562-564, February 2011, doi: 10.1587/transcom.E94.B.562.
Abstract: A path diversity is an effective technique to get highly reliable communications in the sensor network. In this paper, the path diversity is examined for a tree network composed of binary symmetric channels (BSC) from the view point of bit error probability (BEP). End-nodes of the network are connected to a fusion center, which sums up the received data. The probability density function (pdf) of decision variable conditioned on a source node data is derived by an iterative algorithm to obtain BEP. Numerical results show that in the case of a majority decision, BEP at the fusion center is almost the same as the BSC crossover probability due to the path diversity effects, even if the number of relay links increases.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E94.B.562/_p
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@ARTICLE{e94-b_2_562,
author={Kazutaka NISHINO, Shinji TANI, Ikuo OKA, Shingo ATA, },
journal={IEICE TRANSACTIONS on Communications},
title={Error Probability Analysis of Majority Decision in Tree Network Composed of BSC},
year={2011},
volume={E94-B},
number={2},
pages={562-564},
abstract={A path diversity is an effective technique to get highly reliable communications in the sensor network. In this paper, the path diversity is examined for a tree network composed of binary symmetric channels (BSC) from the view point of bit error probability (BEP). End-nodes of the network are connected to a fusion center, which sums up the received data. The probability density function (pdf) of decision variable conditioned on a source node data is derived by an iterative algorithm to obtain BEP. Numerical results show that in the case of a majority decision, BEP at the fusion center is almost the same as the BSC crossover probability due to the path diversity effects, even if the number of relay links increases.},
keywords={},
doi={10.1587/transcom.E94.B.562},
ISSN={1745-1345},
month={February},}
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TY - JOUR
TI - Error Probability Analysis of Majority Decision in Tree Network Composed of BSC
T2 - IEICE TRANSACTIONS on Communications
SP - 562
EP - 564
AU - Kazutaka NISHINO
AU - Shinji TANI
AU - Ikuo OKA
AU - Shingo ATA
PY - 2011
DO - 10.1587/transcom.E94.B.562
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E94-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2011
AB - A path diversity is an effective technique to get highly reliable communications in the sensor network. In this paper, the path diversity is examined for a tree network composed of binary symmetric channels (BSC) from the view point of bit error probability (BEP). End-nodes of the network are connected to a fusion center, which sums up the received data. The probability density function (pdf) of decision variable conditioned on a source node data is derived by an iterative algorithm to obtain BEP. Numerical results show that in the case of a majority decision, BEP at the fusion center is almost the same as the BSC crossover probability due to the path diversity effects, even if the number of relay links increases.
ER -
English
