Application of distributed fault detection in WSN to dangerous chemical products based on Bayesian approach

Trab, Sourour; Zouinkhi, Ahmed; Boussaid, Boumedyen; Abdelkrim, Mohamed Naceur

doi:10.1109/icadlt.2013.6568447

Cited by 7 publications

(2 citation statements)

References 6 publications

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“…6. Security and Privacy:Because SNs are sometimes deployed in accessible areas, the threat of technical interference or human intrusion contributes to security privacy issues [12]. Therefore, robust data encryption algorithms, privacy authentication mechanisms and secure data relay routing are needed to protect the entire network from various attacks.…”

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confidence: 99%

Computational Intelligence based Clustering Algorithms for Wireless Sensor Networks: Trends and Possible Solutions

Mittal¹

2021

TURCOMAT

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A wireless sensor network (WSN) is a state-of-the-art technology for radio communication. A WSN includes several sensors that are arbitrarily distributed in a particular region to detect and track physical characteristics that are hard for humans to observe, like temperature, humidity, and pressure. Because of the nature of WSNs, many issues may arise, including information routing, power consumption, clustering, and cluster head (CH) selection. Although there are still some difficulties in the WSN, owing to its versatility and robustness, it has gained considerable attention among scientists and technologists despite the shortcomings. Various protocols were designed to solve these problems. Low energy adaptive clustering hierarchy (LEACH) is one of the significant hierarchical protocols used to reduce energy consumption in WSNs. This article provides an extensive analysis of LEACH-variant clustering protocols for WSNs. Recent research on Machine Learning, Computational Intelligence, and WSNs has highlighted the optimized WSN clustering algorithms. However, the selection of a suitable paradigm for a clustering solution continues an issue owing to the diversity of WSN applications. In this paper, a comprehensive review of suggested optimized clustering alternatives has been conducted and a comparison of these optimized clustering methods has been suggested based on various performance parameters. The centralized clustering approaches based on the Swarm Intelligence paradigm are observed to be more suitable for the applications in which low energy is required, high information delivery rate, or elevated scalability than algorithms that are based on the other paradigms described.

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confidence: 99%

Computational Intelligence based Clustering Algorithms for Wireless Sensor Networks: Trends and Possible Solutions

Mittal¹

2021

TURCOMAT

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“…] proposes a scheme to identify faulty nodes inside the network and ensures a strong centralized fault tolerant network. In the paper[10], Trab et al proposed a Bayesian approach for a specific application of storing and handling Chemicals and Hazardous Products. Since this application is more prone to accidents and leads to disasters, the proposed approach will ensure a safe and non faulty environment.…”

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confidence: 99%

Proactive Fault Tolerant Routing Protocol for Mobile WSN

C*¹,

M²,

A³

2019

IJITEE

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In Wireless Sensor Network when the sensory nodes are mobile, it is called Mobile WSN. Since the sensors are on the move, the topology of a MWSN is perpetually dynamical. So, finding an optimal routing path from the start node (where the event takes place) to the base station in Mobile WSN is highly complicated. Recent research works have resulted in the design of many innovative protocols for MWSN, however there are many unresolved issues like fault tolerance, connectivity, reducing the energy consumption, enhancing coverage, improving security etc. This work aims at proposing a proactive FT routing scheme for Mobile WSN using a dynamic routing table PFTP and then simulating in MATLAB for evaluating the various performance metrics.

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Design and Implementation of Electronically Controlled On-off Prism based on WSNs

et al. 2018

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Aiming at the problem of multiple prisms recognition in a narrow field angle in the application of TPS automatic measurement, a novel prism node is designed and implemented. Based on WSNs, measuring prism and electrically controlled dimming glass are grouped together as a prism node. It can easily switch between the fuzzy or the transparent state, to help TPS search and observe the correct prism automatically. Its feasibility is verified by experiments, which greatly simplifies the complexity of engineering installation and operation.

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Application of distributed fault detection in WSN to dangerous chemical products based on Bayesian approach

Cited by 7 publications

References 6 publications

Computational Intelligence based Clustering Algorithms for Wireless Sensor Networks: Trends and Possible Solutions

Computational Intelligence based Clustering Algorithms for Wireless Sensor Networks: Trends and Possible Solutions

Proactive Fault Tolerant Routing Protocol for Mobile WSN

Design and Implementation of Electronically Controlled On-off Prism based on WSNs

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