Fault detection in wireless sensor networks through the random forest classifier
Wireless Sensor Networks (WSNs) are vulnerable to faults because of their deployment in
unpredictable and hazardous environments. This makes WSN prone to failures such as …
unpredictable and hazardous environments. This makes WSN prone to failures such as …
A Tutorial on Agricultural IoT: Fundamental Concepts, Architectures, Routing, and Optimization
This paper presents an in-depth contextualized tutorial on Agricultural IoT (Agri-IoT),
covering the fundamental concepts, assessment of routing architectures and protocols, and …
covering the fundamental concepts, assessment of routing architectures and protocols, and …
An isolation-based distributed outlier detection framework using nearest neighbor ensembles for wireless sensor networks
ZM Wang, GH Song, C Gao - IEEE Access, 2019 - ieeexplore.ieee.org
In recent years, wireless sensor networks have been extensively deployed to collect various
data. Due to the effect of harsh environments and the limitation of the computing and …
data. Due to the effect of harsh environments and the limitation of the computing and …
Detection of good and bad sensor nodes in the presence of malicious attacks and its application to data aggregation
A Yessembayev, D Sarkar… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Most of the sensor nodes have multiple inexpensive and unreliable sensors embedded in
them. For many applications, readings from multiple sensors are aggregated. However, the …
them. For many applications, readings from multiple sensors are aggregated. However, the …
Modeling and analysis of wireless sensor networks with/without energy harvesting using Ginibre point processes
In this paper, we analyze the performance of wireless sensor networks using stochastic
geometry. In practical networks, since nodes in the networks are not independently placed …
geometry. In practical networks, since nodes in the networks are not independently placed …
Data reconstruction in heterogeneous environmental wireless sensor networks using robust tensor principal component analysis
G Rajesh, A Chaturvedi - IEEE Transactions on Signal and …, 2021 - ieeexplore.ieee.org
The major challenges during the data acquisition process in an environmental wireless
sensor network (EWSN) architecture are the presence of outliers and missing data. Outliers …
sensor network (EWSN) architecture are the presence of outliers and missing data. Outliers …
[PDF][PDF] Survey: Faults, fault detection and fault tolerance techniques in wireless sensor networks
Wireless Sensor Network (WSN) is strongly affirmed as an indispensable technology that
exploits sensor nodes'(SNs') key abilities (sensing, processing and communication) to …
exploits sensor nodes'(SNs') key abilities (sensing, processing and communication) to …
Temporal and spatial outlier detection in wireless sensor networks
Outlier detection techniques play an important role in enhancing the reliability of data
communication in wireless sensor networks (WSNs). Considering the importance of outlier …
communication in wireless sensor networks (WSNs). Considering the importance of outlier …
Distributed faulty node detection in delay tolerant networks: Design and analysis
Propagation of faulty data is a critical issue. In case of Delay Tolerant Networks (DTN) in
particular, the rare meeting events require that nodes are efficient in propagating only …
particular, the rare meeting events require that nodes are efficient in propagating only …
A novel energy harvesting: Cluster head rotation scheme (EH-CHRS) for green wireless sensor network (GWSN)
Abstract Wireless Sensor Network (WSN) serves as a better solution for remote unmanned
monitoring situations. The harvesting capabilities in Green Wireless Sensor Network …
monitoring situations. The harvesting capabilities in Green Wireless Sensor Network …