Fault tolerance structures in wireless sensor networks (WSNs): Survey, classification, and future directions

GH Adday, SK Subramaniam, ZA Zukarnain, N Samian - Sensors, 2022 - mdpi.com
The Industrial Revolution 4.0 (IR 4.0) has drastically impacted how the world operates. The
Internet of Things (IoT), encompassed significantly by the Wireless Sensor Networks …

State of the art on quality control for data streams: A systematic literature review

M Mirzaie, B Behkamal, M Allahbakhsh… - Computer Science …, 2023 - Elsevier
These days, endless streams of data are generated by various sources such as sensors,
applications, users, etc. Due to possible issues in sources, such as malfunctions in sensors …

Continual learning in sensor-based human activity recognition: An empirical benchmark analysis

S Jha, M Schiemer, F Zambonelli, J Ye - Information Sciences, 2021 - Elsevier
Sensor-based human activity recognition (HAR), ie, the ability to discover human daily
activity patterns from wearable or embedded sensors, is a key enabler for many real-world …

WSN-based smart landslide monitoring device

A Joshi, DP Kanungo… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this article, we present a smart monitoring wireless sensor networking (WSN) node
device, referred to as “SMARTMODE.” The indigenously developed SMARTMODE is energy …

An improved DECPSOHDV-Hop algorithm for node location of WSN in Cyber–Physical–Social-System

T Deng, X Tang, Z Wu, X Liu, W Wei, Z Zeng - Computer Communications, 2022 - Elsevier
Abstract Cyber-Physical Social System (CPSS) refers to the interaction between cyber-
physical systems and social networks. The accuracy of information transmission in Cyber …

VEAD: Variance profile Exploitation for Anomaly Detection in real-time IoT data streaming

KNT Le, TB Dang, DT Le, SM Raza, M Kim, H Choo - Internet of Things, 2024 - Elsevier
The explosion of online streaming services in the Internet-of-Things (IoT) ecosystem poses
new difficulties in detecting anomalies in real-time and continuous data. The IoT data …

Information space of multi-sensor networks

M Tao, S Wang, H Chen, X Wang - Information Sciences, 2021 - Elsevier
It is a challenging problem to explore the capability of multi-sensor networks due to the
identity of the underlying information space across modalities. In this paper, the information …

[PDF][PDF] A Literature Review on Outlier Detection in Wireless Sensor Networks

JC Garca, LA Rivera, J Perez - Journal of Advances in Information …, 2024 - jait.us
Wireless sensor networks have become an important element of technologies such as the
Internet of Things due to their ability to obtain sensory data from the physical world in …

Dme: an adaptive and just-in-time weighted ensemble learning method for classifying block-based concept drift steam

B Feng, Y Gu, H Yu, X Yang, S Gao - IEEE Access, 2022 - ieeexplore.ieee.org
This study proposes a novel incremental learning algorithm called distribution matching
ensemble (DME) in context of adaptive weighted ensemble learning. In particular, DME …

[HTML][HTML] An intelligent active probing and trace-back scheme for IoT anomaly detection

L Wang, L Chen, NN Xiong, A Liu, T Wang… - Digital Communications …, 2024 - Elsevier
Due to their simple hardware, sensor nodes in IoT are vulnerable to attack, leading to data
routing blockages or malicious tampering, which significantly disrupts secure data collection …