Abstract
<p>In the recent years, wireless sensor network technology (WSN) has been widely adopted in precision agriculture for determining the needs of the soil in term of water by monitoring some environmental parameters. To do this, WSN is constructed using several sensor nodes; these small sensing devices are prone to failure and may produce erroneous measurements. To ensure good management of freshwater, the network service quality is necessary. To avoid the degradation of service, the detection of the faulty sensor in WSN is required. In this paper, a fault detection and isolation (FDI) algorithm derived from a parity space approach and based on direct redundancy is proposed toward detecting and isolating sensor fault in WSN. In laboratory experiments, the proposed FDI algorithm proved its effectiveness.</p>
Publisher
Institute of Advanced Engineering and Science
Subject
Electrical and Electronic Engineering,General Computer Science
Cited by
2 articles.
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1. Blockchain-Based IoT for Precision Agriculture;Advances in Systems Analysis, Software Engineering, and High Performance Computing;2023-12-29
2. Anomaly Behavior Analysis for Sensors Fault Detection;2023 IEEE Symposium Series on Computational Intelligence (SSCI);2023-12-05