Error Probability Analysis of Majority Decision in Tree Network Composed of BSC
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概要
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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.
著者
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NISHINO Kazutaka
Graduate School of Engineering, Osaka City University
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TANI Shinji
Graduate School of Engineering, Osaka City University
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OKA Ikuo
Graduate School of Engineering, Osaka City University
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ATA Shingo
Graduate School of Engineering, Osaka City University
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