📚 Volume 28, Issue 9
📋 ID: dqFLvLU
Authors
Luis Watanabe
, Markus Melnyk, John Roux
Alexandria University, faculty of science
Abstract
Wireless sensor networks (WSN) are emerged as an important technology for different purposes. In order to ensure the network quality of service it is necessary for the wireless sensor networks to be able to detect the faults and take actions to avoid further degradation of the service using fault tolerance techniques. An articulation point is defined as a network node whose removal increases the number of disconnected network components. Failures of such nodes disconnect network and block data transmission form network components to others; hence it is vital to detect articulation points. This paper presents a fault detection algorithm for wireless sensor networks by detecting the articulation points and provides a solution in case of disconnection of one of these points. And also provides fault tolerance technique for network disconnectivity by using Back Propagation Neural Network (BPNN).
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📝 How to Cite
Luis Watanabe , Markus Melnyk, John Roux (2021).
"Monitoring Connectivity in Wireless Sensor Networks Using Artificial Neural Networks".
Wulfenia, 28(9).