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Your search keyword '"Nassima Jihani"' showing total 3 results
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3 results on '"Nassima Jihani"'

1. Kalman filter based sensor fault detection in wireless sensor network for smart irrigation

Author

Nassima Jihani, Mohammed Nabil Kabbaj, and Mohammed Benbrahim

Subjects
Sensor fault detection, Wireless sensor network, Kalman filter, Autoregressive model, Smart irrigation, Technology
Abstract

Ensuring the reliability of data obtained from Wireless Sensor Networks (WSNs) deployed in farmland to monitor soil parameters is crucial for optimizing smart irrigation. These distributed sensor nodes encounter various challenges and are vulnerable to sensor faults that can significantly degrade the network's service quality. In this article, we present an innovative approach for detecting sensor faults within WSNs for smart irrigation by combining an autoregressive model with a Kalman filter. Integrating the Kalman filter and the autoregressive model combines their strengths in a synergistic manner. The algorithm is developed with consideration for the resource constraints of the sensor nodes and addresses the challenge of lacking ground truth information for the monitored area. The primary advantage of this proposed technique lies in its simplicity of implementation, requiring minimal computational complexity while enhancing the application's reliability. Through experimentation and validation, we demonstrate the effectiveness of this combined approach in detecting sensor fault detection in real-world WSNs scenarios.

Published
2023
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2. Sensor fault detection and isolation for smart irrigation wireless sensor network based on parity space

Author

Nassima Jihani, Mohammed Nabil Kabbaj, and Mohammed Benbrahim

Subjects
General Computer Science, Direct redundancy, Sensor fault detection and isolation, Electrical and Electronic Engineering, Smart irrigation, Parity space, Wireless sensor network
Abstract

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.

Published
2023

3. Wireless Sensor Network Fault Detection and Isolation for Smart Irrigation

Author

Nassima Jihani, Mohammed Nabil Kabbaj, and Mohammed Benbrahim

Subjects
Irrigation, Base station, Computer science, Long period, Redundancy (engineering), Fault (power engineering), Wireless sensor network, Field (computer science), Fault detection and isolation, Reliability engineering
Abstract

Wireless Sensor Network (WSN) technology plays an important role in the application of smart irrigation by monitoring environmental soil conditions, which helps determine the amount of water required for an agricultural field. These sensors are exposed to harsh environmental conditions over long period of time and became prone to failure. These failures may lead the base station to take the wrong decision. This Paper presents a centralized approach toward detecting and isolating sensor fault in WSN using analytical redundancy which to achieve water saving and guarantee a good crop quality. Simulation results are proved the effectiveness of the proposed method.

Published
2021

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