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
收藏
页码：151 / 158
页数：8
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