On Minimum Number of Wireless Sensors Required for Reliable Binary Source Estimation

被引：0

作者：

Razi, Abolfazl ^{[1
]}

Yasami, Keyvan ^{[1
]}

Abedi, Ali ^{[1
]}

机构：

[1] Univ Maine, Elect & Comp Engn Dept, Wireless Sensor Networks WiSe Net Lab, Orono, ME 04469 USA

来源：

2011 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC) | 2011年

关键词：

Distributed coding; wireless sensor networks; CEO problem; clustering algorithms; convolutional codes;

D O I：

暂无

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

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 criterion(1).

引用

页码：1852 / 1857

页数：6

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