On minimum number of wireless sensors required for reliable binary source estimation
On minimum number of wireless sensors required for reliable binary source estimation
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DOI：
10.1109/wcnc.2011.5779415
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发表时间：
2011-03
期刊：
影响因子：
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通讯作者：
Abolfazl Razi;Keyvan Yasami;A. Abedi
中科院分区：
文献类型：
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作者：
Abolfazl Razi;Keyvan Yasami;A. Abedi
考虑了使用多个观测值估计单个二进制数据源的CEO问题。针对不同的系统参数，包括传感器数量、观测精度和信道质量，导出了系统最大可达信息容量的封闭形式方程。提出了一种新的传感器聚类准则，该准则基于在不同编码速率下实现任意低估计误差所需的最小传感器数量。作为实现实例，提出了一种分布式联合源信道编码（D-JSCC）方案。所提出的编码方案基于并行级联卷积码（PCCC），该编码方案利用由导出的准则确定的传感器数量来实现较高的误码率1。
The CEO problem of estimating a single binary data source using multiple observations is considered. A closed form equation for maximum achievable information capacity of the system is derived for different system parameters including number of sensors, observation accuracy and channel quality. A new criterion for sensor clustering is provided based on the minimum number of sensors required to achieve arbitrarily low estimation error using different coding rates. A distributed joint source-channel coding (D-JSCC) scheme is proposed as an implementation example. The proposed coding scheme is based on the parallel concatenated convolutional codes (PCCC) that achieves high BER performance utilizing the number of sensors determined by the derived criterion1.