A Cellular Automata Based Scheme for Energy Efficient Fault Diagnosis in WSN

被引：0
|
作者：
Khan, Nasiruddin [1 ]
Maity, Ilora [2 ]
Das, Sukanta [1 ,3 ]
Sikdar, Biplab K. [1 ]
机构：
[1] Bengal Engn & Sci Univ, Sibpur 711103, W Bengal, India
[2] Cognizant Technol Solut, Saltlake, W Bengal, India
[3] Bengal Engn & Sci Univ, Informat Technol, Saltlake, West Bengal, India
来源：
CELLULAR AUTOMATA, ACRI 2012 | 2012年 / 7495卷
关键词：
Sensor network; cellular automata; fault diagnosis; SACA;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The faulty nodes in WSN (Wireless Sensor Network) may badly affect the network performance while trying to reach an agreement on an event. This effectively leads to deviation from the desired outcome and unproductive computational overhead. Identification of network region with faulty nodes is, therefore, a necessity to ensure agreement on an issue/event simultaneously limiting the computational overhead. This work proposes a CA (Cellular Automata) based scheme that can efficiently diagnose the region of faulty nodes in a WSN. The scheme is developed around the special class of CA called SACA. This enables fast identification of faulty region with marginal additional computation and the network bandwidth.
引用
收藏
页码：234 / 243
页数：10
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