Models for Distributed Computing in Grid Sensor Networks

被引：0

作者：

Sumanasena, Buddika ^{[1
]}

Bauer, Peter H. ^{[1
]}

机构：

[1] Univ Notre Dame, Dept Elect Engn, Notre Dame, IN 46556 USA

来源：

INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE | 2011年 / 91卷

关键词：

Grid sensor networks; Distributed signal processing; Fornasini-Marchesini model; Givone-Roesser model; 3-D systems; nonlinear systems; REALIZATION;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Using local state space models, a method for distributed information processing in rectangular grid sensor networks is presented. Non-linear systems and signal processing algorithms are represented in a local state space model. Then the local state space model is implemented on the sensor network. The local state space models used are generalizations of Fornasini-Marchesini and Givone-Roesser models for linear time-invariant 3-D systems. Realtime implementation issues of the said method are also discussed.

引用

页码：151 / 158

页数：8

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