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Faulty Node Detection using AI for Wireless Sensor Networks
By : Alifia Putri Anantha
Date : 2019-04-25
Views : 54

In this paper, a faulty node detection scheme using Artificial Intelligence that performs collective monitoring of Wireless Sensor Networks is proposed. Mostly, Wireless Sensor Networks are large-scale systems, heavily noised, and the system workload is unfairly distributed among the master node and slave nodes. Hence, the master node may not easily detect a faulty slave node. In this paper, a more accurate faulty node detection scheme using Particle Swarm Optimization and Naive Bayes Classifier is investigated. With this system, master node can predicts the area in which an error frequently occurs. This scheme can be used for detecting and preventing serious damage caused by node failure.
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Attachment 1:   ÷ Alifia Anantha_Midterm_4 Mins Summary.pdf(281.8KB)  
 
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