Zaloguj się

Gotowe bibliografie tematyczne / WSN; Fault Model; BFRA / Artykuły w czasopismach

Kliknij ten link, aby zobaczyć inne rodzaje publikacji na ten temat: WSN; Fault Model; BFRA.

Artykuły w czasopismach na temat „WSN; Fault Model; BFRA”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

Utwórz poprawne odniesienie w stylach APA, MLA, Chicago, Harvard i wielu innych

Wybierz rodzaj źródła:

Sprawdź 50 najlepszych artykułów w czasopismach naukowych na temat „WSN; Fault Model; BFRA”.

Przycisk „Dodaj do bibliografii” jest dostępny obok każdej pracy w bibliografii. Użyj go – a my automatycznie utworzymy odniesienie bibliograficzne do wybranej pracy w stylu cytowania, którego potrzebujesz: APA, MLA, Harvard, Chicago, Vancouver itp.

Możesz również pobrać pełny tekst publikacji naukowej w formacie „.pdf” i przeczytać adnotację do pracy online, jeśli odpowiednie parametry są dostępne w metadanych.

Przeglądaj artykuły w czasopismach z różnych dziedzin i twórz odpowiednie bibliografie.

1

Vijay, Kumar. "SURVEY OF FAULT DETECTION ALGORITHM IN WSN." INTERNATIONAL JOURNAL OF RESEARCH- GRANTHAALAYAH 5, no. 5 (2017): 207–13. https://doi.org/10.5281/zenodo.583910.

Pełny tekst źródła

Streszczenie:

In recent years, applications of wireless sensor networks (WSNs) have been improved due to its vast potential to connect the physical world to the virtual world. Also, a progress in microelectronic fabrication technology reduces cost of developed portable wireless sensor nodes. Faults occurring to sensor nodes are familiar due to the sensor device itself and the harsh environment where the sensor nodes are deploy. WSNs is mainly affect by the crash of sensor nodes. Possibility of sensor node failure increases with increase number of sensors. Wireless sensor networks have been recognized, at an

Style APA, Harvard, Vancouver, ISO itp.

2

Krishna, M. Sai Rama, Ch Jnana Gayathri, and K. Laxmi Pallavi Rao. "Building Fault Tolerance Within Wsn- A Topology Model." International Journal of Advances in Applied Sciences 7, no. 2 (2018): 135. http://dx.doi.org/10.11591/ijaas.v7.i2.pp135-142.

Pełny tekst źródła

Streszczenie:

<p>Wireless Sensor network plays a crucial role which helps in visualizing, processing, and analyzing the information wirelessly. WSN is a network which consists of huge amount of sensor devices which are of low cost and low powered also known as sensor nodes. These type of networks are generally used in real time applications such as monitoring of environmental conditions, militaries, industries etc.,.but the problem that exists in WSN is may be due to different failures such as node failure, link failure, sink failure, interference, power dissipation and collision. If these faults are

Style APA, Harvard, Vancouver, ISO itp.

3

M., Sai Rama Krishna, Jnana Gayathri Ch., and Laxmi Pallavi Rao K. "Building Fault Tolerance Within Wsn-A Topology Model." International Journal of Advances in Applied Sciences (IJAAS) 7, no. 2 (2018): 135–42. https://doi.org/10.11591/ijaas.v7.i2.pp135-142.

Pełny tekst źródła

Streszczenie:

Wireless Sensor network plays a crucial role which helps in visualizing, processing, and analyzing the information wirelessly. WSN is a network which consists of huge amount of sensor devices which are of low cost and low powered also known as sensor nodes. These type of networks are generally used in real time applications such as monitoring of environmental conditions, militaries, industries etc., .but the problem that exists in WSN is may be due to different failures such as node failure, link failure, sink failure, interference, power dissipation and collision. If these faults are unable t

Style APA, Harvard, Vancouver, ISO itp.

4

Mardenov, Yerik, Aigul Adamova, Tamara Zhukabayeva, and Mohamed Othman. "Enhancing Fault Detection in Wireless Sensor Networks Through Support Vector Machines: A Comprehensive Study." Journal of Robotics and Control (JRC) 4, no. 6 (2023): 868–77. http://dx.doi.org/10.18196/jrc.v4i6.20216.

Pełny tekst źródła

Streszczenie:

The Wireless Sensor Network (WSN) consists of many sensors that are distributed in a specific area for the purpose of monitoring physical conditions. Factors such as hardware limitations, limited resources, unfavourable WSN deployment environment, and the presence of various attacks on nodes can lead to the presence of Faulty Nodes in a WSN. This raises the problem of detecting Faulty Nodes and avoiding Data loss. Detecting Faulty Nodes in real-world scenarios will improve the quality of a WSN. The research was aimed at developing an algorithm to determine the location of Faulty Nodes in a WSN

Style APA, Harvard, Vancouver, ISO itp.

5

Smara, Mounya, and Al-Sakib Khan Pathan. "An Enhanced Mechanism for Fault Tolerance in Agricultural Wireless Sensor Networks." Network 4, no. 2 (2024): 150–74. http://dx.doi.org/10.3390/network4020008.

Pełny tekst źródła

Streszczenie:

Fault tolerance is a critical aspect for any wireless sensor network (WSN), which can be defined in plain terms as the quality of being dependable or performing consistently well. In other words, it may be described as the effectiveness of fault tolerance in the event of crucial component failures in the network. As a WSN is composed of sensors with constrained energy resources, network disconnections and faults may occur because of a power failure or exhaustion of the battery. When such a network is used for precision agriculture, which needs periodic and timely readings from the agricultural

Style APA, Harvard, Vancouver, ISO itp.

6

Hu, Jiamin, Xiaofan Yang, and Luxing Yang. "A Novel Diagnosis Scheme against Collusive False Data Injection Attack." Sensors 23, no. 13 (2023): 5943. http://dx.doi.org/10.3390/s23135943.

Pełny tekst źródła

Streszczenie:

The collusive false data injection attack (CFDIA) is a false data injection attack (FIDA), in which false data are injected in a coordinated manner into some adjacent pairs of captured nodes of an attacked wireless sensor network (WSN). As a result, the defense of WSN against a CFDIA is much more difficult than defense against ordinary FDIA. This paper is devoted to identifying the compromised sensors of a well-behaved WSN under a CFDIA. By establishing a model for predicting the reading of a sensor and employing the principal component analysis (PCA) technique, we establish a criterion for ju

Style APA, Harvard, Vancouver, ISO itp.

7

Xiao, Yang. "Dynamic Fault Tolerant Topology Control for Wireless Sensor Network Based on Node Cascading Failure." International Journal of Online Engineering (iJOE) 14, no. 05 (2018): 118. http://dx.doi.org/10.3991/ijoe.v14i05.8644.

Pełny tekst źródła

Streszczenie:

To address the node cascading failure (CF) of the wireless sensor networks (WSNs), considering such factors as node load and maximum capacity in scale-free topology, this paper establishes the WSN dynamic fault tolerant topology model based on node cascading failure, analyses the relationships between node load, topology and dynamic fault tolerance, and demonstrates the proposed model through simulation test. It studies the effects of topology parameter and load in case of random node failure in the network node cascading failure, and utilizes the theoretical derivation method to derive the st

Style APA, Harvard, Vancouver, ISO itp.

8

Vasco Arone Mazibuco, Nguyen Phuong Nhung, and Nguyen Tuan Linh. "Fault detection in wireless sensor networks with deep neural networks." Journal of Military Science and Technology, CSCE7 (December 30, 2023): 27–36. http://dx.doi.org/10.54939/1859-1043.j.mst.csce7.2023.27-36.

Pełny tekst źródła

Streszczenie:

This paper addresses the challenge of fault detection in Wireless Sensor Networks (WSNs), commonly used in fields like environmental monitoring and healthcare. WSNs, prone to various faults due to their deployment in unpredictable environments, require effective solutions for fault detection. Traditional machine learning approaches show limitations such as unsuitability for streaming data and the detection of a single fault type. We propose the use of deep neural networks, particularly Recurrent Neural Networks (RNNs), for fault detection in WSNs, focusing on temperature and humidity data. The

Style APA, Harvard, Vancouver, ISO itp.

9

Qin, Bo, Luyang Zhang, Heng Yin, and Yan Qin. "Multiple Feature Vectors Based Fault Classification for WSN Integrated Bearing of Rolling Mill." Journal of Control Science and Engineering 2018 (2018): 1–11. http://dx.doi.org/10.1155/2018/3041591.

Pełny tekst źródła

Streszczenie:

For rolling mill machines, the operation status of bearing has a close relationship with process safety and production effectiveness. Therefore, reliable fault diagnosis and classification are indispensable. Traditional methods always characterize fault feature using a single fault vector, which may fail to reveal whole fault influences caused by complex process disturbances. Besides, it may also lead to poor fault classification accuracy. To solve the above-mentioned problems, a fault extraction method is put forward to extract multiple feature vectors and then a classification model is devel

Style APA, Harvard, Vancouver, ISO itp.

10

Shakya, Subarna. "Pollination Inspired Clustering Model for Wireless Sensor Network Optimization." September 2021 3, no. 3 (2021): 196–207. http://dx.doi.org/10.36548/jsws.2021.3.006.

Pełny tekst źródła

Streszczenie:

Remote and dangerous fields that are expensive, complex, and unreachable to reach human insights are examined with ease using the Wireless Sensor Network (WSN) applications. Due to the use of non-renewable sources of energy, challenges with respect to the network lifetime, fault tolerance and energy consumption are faced by the self-managed networks. An efficient fault tolerance technique has been provided in this paper as an effective management strategy. Using the network and communication nodes, revitalization and fault recognition techniques are used for handling diverse levels of faults i

Style APA, Harvard, Vancouver, ISO itp.

11

Ramineni, Padmasree, and Sainath Chaithanya Aravalli. "Fault detection in single-hop and multi-hop wireless sensor networks using a deep learning algorithm." International Journal of Informatics and Communication Technology 13, no. 3 (2024): 453–61. https://doi.org/10.11591/ijict.v13i3.pp453-461.

Pełny tekst źródła

Streszczenie:

The wireless sensor network (WSN) has received significant recognition for its positive impact on environmental monitoring, yet its reliability remains prone to faults. Common factors contributing to faults include connectivity loss from malfunctioning node interfaces, disruptions caused by obstacles, and increased packet loss due to noise or congestion. This research employs a variety of machine learning and deep learning techniques to identify and address these faults, aiming to enhance the overall lifespan and scalability of the WSN. Classification models such as support vector machine (SVM

Style APA, Harvard, Vancouver, ISO itp.

12

Manickavasagam, B., B. Amutha, M. Revathi, N. Karthick, K. Sree Kumar, and K. Priyanka. "Wireless body area network mutual trust analysis technique for fault detection using software defined network (SDN)." Journal of Intelligent & Fuzzy Systems 40, no. 1 (2021): 575–89. http://dx.doi.org/10.3233/jifs-200363.

Pełny tekst źródła

Streszczenie:

Wireless Sensor Node (WSN) helps to track inpatient and remote patient (home/working) health information. Mishandling of the electronic system, patient behaviour and environmental changes which are all lead to incorrect data generation while using WSN for medical purposes. It leads to a false alarm being raised, network resource wastage, a false node priority level and low reliability. We have introduced the Mutual Trust Model (MTM) for Wireless Body Area Network (WBAN) with the help of Fog-Node (FN) to address these issues and to ensure the trustworthiness of the information acquired. In this

Style APA, Harvard, Vancouver, ISO itp.

13

Wang, Na, Jiacun Wang, and Xuemin Chen. "A Trust-Based Formal Model for Fault Detection in Wireless Sensor Networks." Sensors 19, no. 8 (2019): 1916. http://dx.doi.org/10.3390/s19081916.

Pełny tekst źródła

Streszczenie:

Wireless Sensor Networks (WSNs) are prone to failures and malicious attacks. Trust evaluation is becoming a new method for fault detection in WSNs. In our previous work, a comprehensive trust model based on multi-factors was introduced for fault detection. This model was validated by simulating. However, it needs to be redeployed when adjustment to network parameters is made. To address the redeployment issue, we propose a Trust-based Formal Model (TFM) that can describe the fault detection process and check faults without simulating and running a WSN. This model derives from Petri nets with t

Style APA, Harvard, Vancouver, ISO itp.

14

Shen, Ji Tao, and Jun Yang Zhang. "Research on Optimal Deployment of HWSN Node Cost Based on Simulated Annealing Algorithm." Applied Mechanics and Materials 651-653 (September 2014): 1921–24. http://dx.doi.org/10.4028/www.scientific.net/amm.651-653.1921.

Pełny tekst źródła

Streszczenie:

An optimal heterogeneous sensor differentiated deployment schemes based on simulated annealing algorithm is proposed to solve the problems of the high density of distributing heterogeneity nodes in WSN and geographical irregularity of the sensed event. This method can not only apply to Boolean perception model of the node, but also apply to perception model. The algorithm uses the cost of sensors deployment as objective function in the context of assuring the coverage and fault tolerant of networks. The simulation results show that, the optimization method proposed in this paper can effectivel

Style APA, Harvard, Vancouver, ISO itp.

15

Lei, Jinhui, Xiyan Tian, and Zhixia Zhang. "Life Cycle and Intrusion Tolerance Optimization Topology Models for Wireless Sensor Networks." International Journal of Online Engineering (iJOE) 14, no. 05 (2018): 105. http://dx.doi.org/10.3991/ijoe.v14i05.8643.

Pełny tekst źródła

Streszczenie:

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;">Wireless sensor networks have such disadvantages as upper limit of node energy and poor intrusion tolerance, etc. In light of these disadvantages, by analyzing such key parameters as residual energy, load, node degree, this paper proposes a wireless sensor network (WSN) life-cycle model, which fully considers node energy consumption and load fault tolerance, and a scale-free intrusion tolerance and t

Style APA, Harvard, Vancouver, ISO itp.

16

Padmasree, Ramineni, and Aravalli Sainath Chaithanya. "Fault detection in single-hop and multi-hop wireless sensor networks using a deep learning algorithm." International Journal of Informatics and Communication Technology (IJ-ICT) 13, no. 3 (2024): 453. http://dx.doi.org/10.11591/ijict.v13i3.pp453-461.

Pełny tekst źródła

Streszczenie:

<p>The wireless sensor network (WSN) has received significant recognition for its positive impact on environmental monitoring, yet its reliability remains prone to faults. Common factors contributing to faults include connectivity loss from malfunctioning node interfaces, disruptions caused by obstacles, and increased packet loss due to noise or congestion. This research employs a variety of machine learning and deep learning techniques to identify and address these faults, aiming to enhance the overall lifespan and scalability of the WSN. Classification models such as support vector mac

Style APA, Harvard, Vancouver, ISO itp.

17

Amutha, R., G. G. Sivasankari, and K. R. Venugopal. "A prediction model for effective data aggregation materials and fault node classification in WSN." Materials Today: Proceedings 49 (2022): 2962–67. http://dx.doi.org/10.1016/j.matpr.2021.11.370.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

18

Sun, Guo-Wen, Gang Xiang, Wei He, Kai Tang, Zi-Yi Wang, and Hai-Long Zhu. "A WSN Node Fault Diagnosis Model Based on BRB with Self-Adaptive Quality Factor." Computers, Materials & Continua 75, no. 1 (2023): 1157–77. http://dx.doi.org/10.32604/cmc.2023.035667.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

19

Liu, Zhi Ping. "Automotive Wire Control Steering Sensor Fault Detection Algorithm Research." Applied Mechanics and Materials 727-728 (January 2015): 708–11. http://dx.doi.org/10.4028/www.scientific.net/amm.727-728.708.

Pełny tekst źródła

Streszczenie:

This article to cancel after the mechanical connections between steering wheel and steering, wire control steering system security and reliability problems, put forward on the basis of the analytical redundancy software sensor method of wire control steering system. In order to solve the compared with the traditional steering system in terms of reliability and safety of the problems of structural changes, the wire control steering system of the main sensor fault diagnosis methods are studied. In wire control steering system associated with the vehicle dynamics model is established under the pr

Style APA, Harvard, Vancouver, ISO itp.

20

Liu, Yong, Baohua Liang, and Jiabao Jiang. "Information Processing and Data Management Technology in Wireless Sensor Networks." International Journal of Online Engineering (iJOE) 14, no. 09 (2018): 66. http://dx.doi.org/10.3991/ijoe.v14i09.8270.

Pełny tekst źródła

Streszczenie:

<p>The wireless sensor network is essentially a data-centric network that processes the continuous stream of data, which is collected by different sensors. Therefore, the existing data management technologies regard the wireless sensor network, which is named WSN as a distributed database, and it is composed of continuous data streams from the physical world. Wireless sensor networks are emerging next-generation sensor networks, but their transmission of information is highly dependent. The wireless sensor network processes the continuous stream of data collected by the sensor. Based on

Style APA, Harvard, Vancouver, ISO itp.

21

Deng, Huiqiong, Junyuan Wu, Jie Luo, et al. "Research on a Power Grid Cascading Failure Prevention and Control Method considering WSN." Wireless Communications and Mobile Computing 2021 (November 22, 2021): 1–12. http://dx.doi.org/10.1155/2021/9439977.

Pełny tekst źródła

Streszczenie:

The practical application of wireless sensor networks (WSNs) in hot fields is summarized. It is found that compared with traditional monitoring methods, it has better adaptability to complex environments and low cost. It is suitable for monitoring power grid operation parameters. Therefore, this paper combines the above network and cascading failures, analyzes its 24-hour continuous and dynamic monitoring of the operation parameters of the power grid, and considers how to use the obtained parameters to analyze the disturbance of the remaining lines after the initial fault of the power grid. To

Style APA, Harvard, Vancouver, ISO itp.

22

Alauthman, Almamoon, and Abeer Al-Hyari. "Intelligent Fault Detection and Self-Healing Mechanisms in Wireless Sensor Networks Using Machine Learning and Flying Fox Optimization." Computers 14, no. 6 (2025): 233. https://doi.org/10.3390/computers14060233.

Pełny tekst źródła

Streszczenie:

WSNs play a critical role in many applications that require network reliability, such as environmental monitoring, healthcare, and industrial automation. Thus, fault detection and self-healing are two effective mechanisms for addressing the challenges of node failure, communication disruption, a energy constraints faced by WSNs. This paper presents an intelligent framework based on Light Gradient Boosting Machine integration for fault detection and a Flying Fox Optimization Algorithm in dynamic self-healing. The LGBM model provides very accurate and scalable performance related to effective fa

Style APA, Harvard, Vancouver, ISO itp.

23

Gutierrez-Rojas, D., C. Kalalas, I. Christou, et al. "Detection and Classification of Anomalies in WSN-Enabled Cyber-Physical Systems." IEEE SENSORS JOURNAL 25, no. 4 (2025): 7193–204. https://doi.org/10.1109/JSEN.2024.3520507.

Pełny tekst źródła

Streszczenie:

Detection and classification of anomalies in industrial applications has long been a focus of interest in the research community. The integration of computational and physical systems has increased the complexity of interactions between processes, leading to vulnerabilities in both the physical and cyber layers. This work presents a model structure for anomaly detection in the Internet of Things (IoT)-enabled industrial cyber-physical systems (CPSs), enabled by wireless sensor networks (WSNs). The model comprises three primary data blocks in the cyber layer: sensor-based data acquisition, data

Style APA, Harvard, Vancouver, ISO itp.

24

Barbudhe, Vishwajit K., and Shruti K. Dixit. "Wireless Sensor Network's Fault Diagnosis using Energy Efficient Delay Sensitive." International Journal on Advances in Engineering, Technology and Science (IJAETS) 5, no. 2 (2024): 151–55. https://doi.org/10.5281/zenodo.12579224.

Pełny tekst źródła

Streszczenie:

<em>Abstract – </em>With the increasing prominence of Wireless Sensor Networks (WSNs), addressing fault diagnosis has become a pivotal research concern. The emergence of faulty nodes, often stemming from energy depletion, poses significant challenges to the network's communication reliability and performance. This paper introduces the Energy Efficient Delay Sensitive (EEDS) algorithm as a solution to enhance both energy efficiency and delay management in the presence of faulty nodes. The proposed EEDS algorithm leverages Particle Swarm Optimization (PSO), a well-established optimization

Style APA, Harvard, Vancouver, ISO itp.

25

Sun, Qiao-yan, Yu-mei Sun, Xue-jiao Liu, Ying-xin Xie, and Xiang-guang Chen. "Study on fault diagnosis algorithm in WSN nodes based on RPCA model and SVDD for multi-class classification." Cluster Computing 22, S3 (2018): 6043–57. http://dx.doi.org/10.1007/s10586-018-1793-z.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

26

Rai, Ashok Kumar, Lalit Kumar Tyagi, Anoop Kumar, Swapnita Srivastava, and Naushen Fatima. "Enhancing Energy Efficiency in Cluster Based WSN using Grey Wolf Optimization." ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal 12, no. 1 (2023): e30632. http://dx.doi.org/10.14201/adcaij.30632.

Pełny tekst źródła

Streszczenie:

Wireless sensor networks (WSNs) are typically made up of small, low-power sensor nodes (SNs) equipped with capability for wireless communication, processing, and sensing. These nodes collaborate with each other to form a self-organizing network. They can collect data from their surrounding environment, such as temperature, humidity, light intensity, or motion, and transmit it to a central base station (BS) or gateway for additional processing and analysis. LEACH and TSEP are examples of cluster-based protocols developed for WSNs. These protocols require careful design and optimization of CH se

Style APA, Harvard, Vancouver, ISO itp.

27

Altaf, Saud, Shafiq Ahmad, Mazen Zaindin, Shamsul Huda, Sofia Iqbal, and Muhammad Waseem Soomro. "Multiple Industrial Induction Motors Fault Diagnosis Model within Powerline System Based on Wireless Sensor Network." Sustainability 14, no. 16 (2022): 10079. http://dx.doi.org/10.3390/su141610079.

Pełny tekst źródła

Streszczenie:

The voltage supply of induction motors of various sizes is typically provided by a shared power bus in an industrial production powerline network. A single motor’s dynamic behavior produces a signal that travels along the powerline. Powerline networks are efficient at transmitting and receiving signals. This could be an indication that there is a problem with the motor down immediately from its location. It is possible for the consolidated network signal to become confusing. A mathematical model is used to measure and determine the possible known routing of various signals in an electricity ne

Style APA, Harvard, Vancouver, ISO itp.

28

Xie, Nan, Yao Chen, and Ping He. "Application of Wireless Sensor Network Technology Using Intelligent Algorithm in Mismatch Detection of Photovoltaic Power Generation." Wireless Communications and Mobile Computing 2022 (April 25, 2022): 1–13. http://dx.doi.org/10.1155/2022/7688109.

Pełny tekst źródła

Streszczenie:

The paper was aimed at ensuring the stable operation of the photovoltaic power generation system (PVPGS) and improving the accuracy of automatic mismatch detection. Consequently, this paper presents a PVPGS-oriented mismatch detection system based on wireless sensing technology (WSN). Firstly, the photovoltaic array (PVA) is constructed using a microcontroller, power management chip, nRF24L01, temperature sensor, voltage, and current sensor. Then, a fault detection and localization (FDL) scheme based on the Hampel algorithm is optimized, and Matlab/Simulink implements the PVA simulation model.

Style APA, Harvard, Vancouver, ISO itp.

29

Xie, Nan, Yao Chen, and Ping He. "Application of Wireless Sensor Network Technology Using Intelligent Algorithm in Mismatch Detection of Photovoltaic Power Generation." Wireless Communications and Mobile Computing 2022 (April 25, 2022): 1–13. http://dx.doi.org/10.1155/2022/7688109.

Pełny tekst źródła

Streszczenie:

The paper was aimed at ensuring the stable operation of the photovoltaic power generation system (PVPGS) and improving the accuracy of automatic mismatch detection. Consequently, this paper presents a PVPGS-oriented mismatch detection system based on wireless sensing technology (WSN). Firstly, the photovoltaic array (PVA) is constructed using a microcontroller, power management chip, nRF24L01, temperature sensor, voltage, and current sensor. Then, a fault detection and localization (FDL) scheme based on the Hampel algorithm is optimized, and Matlab/Simulink implements the PVA simulation model.

Style APA, Harvard, Vancouver, ISO itp.

30

C S, Sharmila Babu. "Malicious Node Detection and Secure Data Storage in Wireless Sensor Networks Using Blockchain and Machine Learning." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 2475–83. https://doi.org/10.22214/ijraset.2025.70728.

Pełny tekst źródła

Streszczenie:

Wireless Sensor Networks (WSNs) are widely used for monitoring and data collection in various environments. However, these networks are vulnerable to attacks from malicious nodes, which can compromise the integrity and reliability of the system. In this work, I propose a model that combines blockchain-based registration and authentication with machine learning for real-time malicious node detection. The system uses the Histogram Gradient Boost (HGB) classifier to identify threats and stores legitimate data in the Interplanetary File System (IPFS), with hashes recorded on the blockchain. To kee

Style APA, Harvard, Vancouver, ISO itp.

31

Khan, Gulista, Wajid Ali, Swati Arya, and Vaibhav Sharma. "GREEN ROUTINGSTRATEGY FOR DYNAMICALLY ARRANGED HOMOGENEOUS WSN- MSCT2." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 12, no. 7 (2014): 3712–18. http://dx.doi.org/10.24297/ijct.v12i7.3077.

Pełny tekst źródła

Streszczenie:

Wireless networks play a crucial role in the communication systems nowadays. Wireless networks are being increasingly used in the communication among devices of the most varied types and sizes. User mobility, affordability, flexibility and ease of use are few of many reasons for making them very appealing to new applications and more users everyday. A Wireless Sensor Network (WSN) is composed of sensor nodes spread over the field to sense the data. The sensed data must be gathered & transmitted to Base Station (BS) for end user queries. The used sensor nodes being in- expensive having low

Style APA, Harvard, Vancouver, ISO itp.

32

Ridha Mohammed Alfoudi. "Fault Detection in Wireless Sensor Networks Using Horse Herd Algorithm and Convolutional Neural Network with Attention Layer." Journal of Electrical Systems 20, no. 11s (2024): 3338–57. https://doi.org/10.52783/jes.8089.

Pełny tekst źródła

Streszczenie:

Reliable and real-time detection of faults in Wireless Sensor Networks (WSNs) is significant for the ongoing flow of critical data despite being a strenuous task. In this article, we present a comprehensive WSN-suitable fault detection system as a solution to this challenge. The primary step involves a thorough pre-processing of data such as partitioning, data cleaning, reordering of sample windows, and normalization through the min-max technique. These steps are fundamental to preparing the dataset, while also assisting systematize the proposed solution. A Horse Optimization Algorithm (HOA) i

Style APA, Harvard, Vancouver, ISO itp.

33

Liu, Jianlin, Fenxiong Chen, Jun Yan, and Dianhong Wang. "CBN-VAE: A Data Compression Model with Efficient Convolutional Structure for Wireless Sensor Networks." Sensors 19, no. 16 (2019): 3445. http://dx.doi.org/10.3390/s19163445.

Pełny tekst źródła

Streszczenie:

Data compression is a useful method to reduce the communication energy consumption in wireless sensor networks (WSNs). Most existing neural network compression methods focus on improving the compression and reconstruction accuracy (i.e., increasing parameters and layers), ignoring the computation consumption of the network and its application ability in WSNs. In contrast, we pay attention to the computation consumption and application of neural networks, and propose an extremely simple and efficient neural network data compression model. The model combines the feature extraction advantages of

Style APA, Harvard, Vancouver, ISO itp.

34

Aravind, Kalavagunta, and Praveen Kumar Reddy Maddikunta. "Dingo Optimization Based Cluster Based Routing in Internet of Things." Sensors 22, no. 20 (2022): 8064. http://dx.doi.org/10.3390/s22208064.

Pełny tekst źródła

Streszczenie:

The Wireless Sensor Network (WSN) is a collection of distinct, geographically distributed, Internet-connected sensors, which is capable of processing, analyzing, storing, and exchanging collected information. However, the Internet of Things (IoT) devices in the network are equipped with limited resources and minimal computing capability, resulting in energy conservation problems. Although clustering is an efficient method for energy saving in network nodes, the existing clustering algorithms are not effective due to the short lifespan of a network, an unbalanced load among the network nodes, a

Style APA, Harvard, Vancouver, ISO itp.

35

Su, Jinglei, Xue Chu, Seifedine Kadry, and Rajkumar S. "Internet-of-Things-Assisted Smart System 4.0 Framework Using Simulated Routing Procedures." Sustainability 12, no. 15 (2020): 6119. http://dx.doi.org/10.3390/su12156119.

Pełny tekst źródła

Streszczenie:

The environment and energy are two important issues in the current century. The development of modern society is closely linked to energy and the environment. Internet of Things (IoT) and Wireless Sensor Networks (WSNs) have recently been developed substantially to contribute to the fourth transformation of the power grid, namely the smart grid. WSNs have the potential to improve power grid reliability via cable replacements, fault-tolerance features, large-scale protection, versatility to deploy, and cost savings in the smart grid environment. Moreover, because of equipment noise, dust heat,

Style APA, Harvard, Vancouver, ISO itp.

36

Minochkin, A., М. Masesov, and P. Shatsilo. "Applied mathematical providing of management of energy of resource of knots of sensory network for the (special) military setting charges." Communication, informatization and cybersecurity systems and technologies, no. 5 (June 1, 2024): 87–100. http://dx.doi.org/10.58254/viti.5.2024.08.87.

Pełny tekst źródła

Streszczenie:

The analysis of experience of realization of soldiery operations in war of the Russian federation against Ukraine witnessed, that the use in the armed forces of frontrank technologies the increase of troops of enemy allows in good time to disrobe on borders between the states, that take part in a military conflict, to reduce the strong points of opponent, redeployment of troops, their preparation to the rocket inflicting blows and other. Self introduction of such technologies in CASS of management troops and weapon allows in good time to react on influence of various external factors and gives

Style APA, Harvard, Vancouver, ISO itp.

37

Gazis, Alexandros, and Eleftheria Katsiri. "IoT Cloud Computing Middleware for Crowd Monitoring and Evacuation." International Journal of Circuits, Systems and Signal Processing 15 (December 23, 2021): 1790–802. http://dx.doi.org/10.46300/9106.2021.15.193.

Pełny tekst źródła

Streszczenie:

Map-Reduce is a programming model and an associated implementation for processing and generating large data sets. This model has a single point of failure: the master, who coordinates the work in a cluster. On the contrary, wireless sensor networks (WSNs) are distributed systems that scale and feature large numbers of small, computationally limited, low-power, unreliable nodes. In this article, we provide a top-down approach explaining the architecture, implementation and rationale of a distributed fault-tolerant IoT middleware. Specifically, this middleware consists of multiple mini-computing

Style APA, Harvard, Vancouver, ISO itp.

38

Zhou, Xiaoyang. "Wireless Sensor Network Deployment in Cyberphysical Machine Tool System Based on Optimal Allocation of Memory Buffers." Journal of Sensors 2021 (February 2, 2021): 1–18. http://dx.doi.org/10.1155/2021/6680718.

Pełny tekst źródła

Streszczenie:

As an important direction of Industry 4.0, cyberphysical machine tool systems (CPMTS) can realize the deep integration and real-time interaction of physical components and information to optimize manufacturing processes. Wireless sensor network (WSN), an important part of CPMTS, is responsible for data collection and transmission. However, in the process of data transmission, due to memory limitations and noise interference, unreasonable sensor distribution will affect the performance of CPMTS. At the same time, data accuracy will be affected due to the resource constraints of CPMTS. To solve

Style APA, Harvard, Vancouver, ISO itp.

39

Gaddam, Anuroop, Tim Wilkin, Maia Angelova, and Jyotheesh Gaddam. "Detecting Sensor Faults, Anomalies and Outliers in the Internet of Things: A Survey on the Challenges and Solutions." Electronics 9, no. 3 (2020): 511. http://dx.doi.org/10.3390/electronics9030511.

Pełny tekst źródła

Streszczenie:

The Internet of Things (IoT) has gained significant recognition to become a novel sensing paradigm to interact with the physical world in this Industry 4.0 era. The IoTs are being used in many diverse applications that are part of our life and is growing to become the global digital nervous systems. It is quite evident that in the near future, hundreds of millions of individuals and businesses with billions will have smart-sensors and advanced communication technology, and these things will expand the boundaries of current systems. This will result in a potential change in the way we work, lea

Style APA, Harvard, Vancouver, ISO itp.

40

Shi, Ke-Xin, Shi-Ming Li, Guo-Wen Sun, Zhi-Chao Feng, and Wei He. "A fault diagnosis method for wireless sensor network nodes based on a belief rule base with adaptive attribute weights." Scientific Reports 14, no. 1 (2024). http://dx.doi.org/10.1038/s41598-024-54589-6.

Pełny tekst źródła

Streszczenie:

AbstractDue to the harsh operating environment and ultralong operating hours of wireless sensor networks (WSNs), node failures are inevitable. Ensuring the reliability of the data collected by the WSN necessitates the utmost importance of diagnosing faults in nodes within the WSN. Typically, the initial step in the fault diagnosis of WSN nodes involves extracting numerical features from neighboring nodes. A solitary data feature is often assigned a high weight, resulting in the failure to effectively distinguish between all types of faults. Therefore, this study introduces an enhanced variant

Style APA, Harvard, Vancouver, ISO itp.

41

Li, Ming. "Node fault diagnosis algorithm for wireless sensor networks based on BN and WSN." EURASIP Journal on Information Security 2023, no. 1 (2023). http://dx.doi.org/10.1186/s13635-023-00149-w.

Pełny tekst źródła

Streszczenie:

AbstractWireless sensor networks, as an emerging information exchange technology, have been widely applied in many fields. However, nodes tend to become damaged in harsh and complex environmental conditions. In order to effectively diagnose node faults, a Bayesian model-based node fault diagnosis model was proposed. Firstly, a comprehensive analysis was conducted into the operative principles of wireless sensor systems, whereby fault-related features were then extrapolated. A Bayesian diagnostic model was constructed using the maximum likelihood method with sufficient sample features, and a jo

Style APA, Harvard, Vancouver, ISO itp.

42

Mohapatra, Hitesh, and Amiya Kumar Rath. "Fault Tolerance in WSN Through Uniform Load Distribution Function." International Journal of Sensors, Wireless Communications and Control 10 (May 25, 2020). http://dx.doi.org/10.2174/2210327910999200525164954.

Pełny tekst źródła

Streszczenie:

Aim: The existing cluster-based energy-efficient models such as Low Energy Adaptive Clustering Hierarchy (LEACH) and Stable Election Protocol (SEP) are fails in the distribution of sensor nodes uniformly during cluster formation. The non-uniform cluster distribution structure leads to rapid energy depletion and high energy consumption. So, this paper aims to create uniform loadbased cluster formation. Background: This proposed idea motivated with a famous saying "If a Fault is Handling Fault Then That's not a Fault". Designing of energy-efficient and fault-tolerant model is indeed in wireless

Style APA, Harvard, Vancouver, ISO itp.

43

Begum, Beneyaz Ara, and Satyanarayana V. Nandury. "Composite Interference Mapping Model to Determine Interference-Fault Free Schedule in WSN." IEEE Access, 2022, 1. http://dx.doi.org/10.1109/access.2022.3211654.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

44

"A Proposed Method to Enhance the Quality of Data Communication in WSN using Modular Arithmetic." International Journal of Innovative Technology and Exploring Engineering 9, no. 8 (2020): 879–81. http://dx.doi.org/10.35940/ijitee.g5797.069820.

Pełny tekst źródła

Streszczenie:

Wireless sensor networks (WSN) are the current direction to monitor the resources and processes by developing fault tolerant distributed auto configure systems. High reliability is required to use WSN in safety systems, real time monitoring systems, guard systems and industrial control for all levels of the OSI model. To eliminate the noise and to process the information parallel by extending the signal spectrum using FHSS and Residue number system (RNS) based transformation. These approaches increase the reliability of data transmission in a WSN physical layer only. It is essential to have re

Style APA, Harvard, Vancouver, ISO itp.

45

Machiwa, Erick J., Verdiana G. Masanja, Michael F. Kisangiri, and Joseph W. Matiko. "A comprehensive survey on linear programming and energy optimization methods for maximizing lifetime of wireless sensor network." Discover Computing 27, no. 1 (2024). http://dx.doi.org/10.1007/s10791-024-09454-5.

Pełny tekst źródła

Streszczenie:

AbstractThe wireless sensor network (WSN) is considered as a network, encompassing small-embedded devices named sensors that are wirelessly connected to one another for data forwarding within the network. These sensor nodes (SNs) follow an ad-hoc configuration and are connected with the Base Station (BS) through the internet for data sharing. When more amounts of data are shared from several SNs, traffic arises within the network, and controlling and balancing the traffic loads (TLs) are significant. The TLs are the amount of data shared by the network in a given time. Balancing these loads wi

Style APA, Harvard, Vancouver, ISO itp.

46

C, Umarani, Gokul Prasad C, Velumani R, and Thangaraj K. "Energy-Efficient Fault Data Prediction and Transmission in WSN IoT using Bio-Inspired Optimization and Deep Learning." Journal of Machine and Computing, April 5, 2025, 1186–203. https://doi.org/10.53759/7669/jmc202505094.

Pełny tekst źródła

Streszczenie:

Wireless sensor networks (WSNs) are crucial for several applications. WSN nodes frequently function with constrained battery capacity, rendering energy efficiency a critical issue for clustering and routing. Moreover, a principal challenge of WSNs is ensuring the dependability and security of transmitted data in susceptible contexts to avert hostile node attacks. This study seeks to establish a secure and energy-efficient routing system for fault data prediction to improve the longevity and dependability of WSNs. This paper presents a sophisticated framework for intelligent fault prediction an

Style APA, Harvard, Vancouver, ISO itp.

47

Ara, Tabassum. "Energy efficient secured cluster based distributed fault diagnosis protocol for IoT." International Journal of Communication Networks and Information Security (IJCNIS) 10, no. 3 (2022). http://dx.doi.org/10.17762/ijcnis.v10i3.3586.

Pełny tekst źródła

Streszczenie:

The rapid growth of internet and internet services provision offers wide scope to the industries to couple the various network models to design a flexible and simplified communication infrastructure. A significant attention paid towards Internet of things (IoT), from both academics and industries. Connecting and organizing of communication over wireless IoT network models are vulnerable to various security threats, due to the lack of inappropriate security deployment models. In addition to this, these models have not only security issues; they also have many performance issues. This research w

Style APA, Harvard, Vancouver, ISO itp.

48

Swathi, B., Dr M. Amanullah, and S. A. Kalaiselvan. "Energy-efficient and Fault-Tolerant Routing Mechanism for WSN using Optimizer based Deep Learning Model." Sustainable Computing: Informatics and Systems, October 2024, 101044. http://dx.doi.org/10.1016/j.suscom.2024.101044.

Pełny tekst źródła

Style APA, Harvard, Vancouver, ISO itp.

49

Balraj, Lavina, and Aruchamy Prasanth. "An energy‐aware software fault detection system based on hierarchical rule approach for enhancing quality of service in internet of things‐enabled wireless sensor network." Transactions on Emerging Telecommunications Technologies 35, no. 4 (2024). http://dx.doi.org/10.1002/ett.4971.

Pełny tekst źródła

Streszczenie:

AbstractOf late, the Internet of Things (IoT) has progressed in its pervasiveness across the globe for diverse applications. Wireless Sensor Network (WSN) is one of the prominent technologies employed in IoT environments where multiple tiny sensor nodes are distributed to sense real‐time observations about unforeseeable areas for control and managerial purposes. Owing to the presence of sensors in inaccessible regions and their battery restrictions, different types of software faults occur in IoT‐enabled WSNs (IWSNs). These faults create uncertainty in data reading which causes serious damage

Style APA, Harvard, Vancouver, ISO itp.

50

"Fault Tolerant Coverage and Connectivity Model for Wireless Sensor Networks in Real time Environment." International Journal of Recent Technology and Engineering 8, no. 4 (2019): 5083–8091. http://dx.doi.org/10.35940/ijrte.d8302.118419.

Pełny tekst źródła

Streszczenie:

Both connectivity and coverage are considered as the basic performance standards of the service yielded through a Wireless Sensor Network (WSN). Sensing field’s monitoring quality is represented through coverage. So, coverage represents the quality of tracking of the sensing field through the sensors. Connectivity exhibits the quality of the information delivery along with the sensor nodes, or to the base station. This paper aims for pre-estimation for the sensor numbers that are to be placed in an adverse situation for achieving required coverage. This paper promotes 𝐾-coverage and 𝐾-connecti

Style APA, Harvard, Vancouver, ISO itp.

Oferujemy zniżki na wszystkie plany premium dla autorów, których prace zostały uwzględnione w tematycznych zestawieniach literatury. Skontaktuj się z nami, aby uzyskać unikalny kod promocyjny!