Iterative Distributed Amplitude Optimization for Distributed Detection in Wireless Sensor Networks

被引:0
|
作者
Choi, Jinho [1 ]
Ha, Jeongseok [2 ]
机构
[1] Swansea Univ, Coll Engn, Swansea, W Glam, Wales
[2] Korea Adv Inst Sci & Technol, Dept Elect Engn, Daejeon, South Korea
基金
英国工程与自然科学研究理事会;
关键词
wireless sensor networks; distributed detection; distributed optimization;
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
In this paper, an iterative distributed approach is studied for the signal amplitude optimization when the distributed detection is carried out with a symmetric signaling constraint in a wireless sensor network (WSN) consisting of a fusion center (FC) and multiple sensors. In the conventional distributed detection, if sensors' characteristics change due to aging problems or varying operating conditions, they have to be available at the FC for a best combining result. On the other hand, in the proposed approach, each sensor can adjust its signal amplitude using a type-based multiple access (TBMA) technique to provide a best performance at the FC through an iterative approach without sending their individual characteristics.
引用
收藏
页数:5
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