AVERAGE CONSENSUS IN WIRELESS SENSOR NETWORKS: WILL IT BLEND?

被引：0

作者：

Schwarz, Valentin ^{[1
]}

Matz, Gerald ^{[1
]}

机构：

[1] Vienna Univ Technol, Inst Commun & Radio Frequency Engn, A-1040 Vienna, Austria

来源：

2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2013年

关键词：

Average consensus; wireless sensor networks; distributed inference; advection-diffusion equation;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

Average consensus (AC) is a popular method for distributed in-network averaging that is closely related to diffusion processes. Recently, it has been suggested that AC designs inspired by physical advection processes feature improved performance. In this paper, we show how such advection-diffusion inspired AC designs can be obtained for realistic network topologies. The resulting AC algorithms act like a blender that mixes the measured data. Numerical simulations corroborate the performance improvements of our blending approach to the design of AC algorithms.

引用

页码：4584 / 4588

页数：5

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