A systematic review of quality of service in wireless sensor networks using machine learning: Recent trend and future vision
Abstract Wireless Sensor Network (WSN) is used in different research areas such as military,
industry, healthcare, agriculture, Internet of Things (IoT), transportation, and smart cities. The …
industry, healthcare, agriculture, Internet of Things (IoT), transportation, and smart cities. The …
VANET simulators: an updated review
Research on VANETs (vehicular ad hoc networks) date back to the beginning of the 2000s.
The possibility of enabling communication between vehicles through a wireless network …
The possibility of enabling communication between vehicles through a wireless network …
Fuzzy AHP analysis of Internet of Things (IoT) in enterprises
PTM Ly, WH Lai, CW Hsu, FY Shih - Technological Forecasting and Social …, 2018 - Elsevier
Abstract Internet of Things (IoT) is a term that has been introduced in recent years, and it
defines objects being able to connect and transfer data through the internet. Although some …
defines objects being able to connect and transfer data through the internet. Although some …
Industrial IoT monitoring: Technologies and architecture proposal
Dependability and standardization are essential to the adoption of Wireless Sensor
Networks (WSN) in industrial applications. Standards such as ZigBee, WirelessHART …
Networks (WSN) in industrial applications. Standards such as ZigBee, WirelessHART …
FAGWO-H: A hybrid method towards fault-tolerant cluster-based routing in wireless sensor network for IoT applications
Wireless sensor networks (WSNs) are the substantial parts of any Internet of Things (IoT)-
based applications. A WSN is deployed to collect essential data from a specific application …
based applications. A WSN is deployed to collect essential data from a specific application …
CAFD: Context-aware fault diagnostic scheme towards sensor faults utilizing machine learning
Sensors' existence as a key component of Cyber-Physical Systems makes it susceptible to
failures due to complex environments, low-quality production, and aging. When defective …
failures due to complex environments, low-quality production, and aging. When defective …
Integrated Edge Deployable Fault Diagnostic Algorithm for the Internet of Things (IoT): A Methane Sensing Application
The Internet of Things (IoT) is seen as the most viable solution for real-time monitoring
applications. But the faults occurring at the perception layer are prone to misleading the data …
applications. But the faults occurring at the perception layer are prone to misleading the data …
Hybrid continuous density hmm-based ensemble neural networks for sensor fault detection and classification in wireless sensor network
M Emperuman, S Chandrasekaran - Sensors, 2020 - mdpi.com
Sensor devices in wireless sensor networks are vulnerable to faults during their operation in
unmonitored and hazardous environments. Though various methods have been proposed …
unmonitored and hazardous environments. Though various methods have been proposed …
LBR‐GWO: Layered based routing approach using grey wolf optimization algorithm in wireless sensor networks
The sensors deployed inside a wireless sensor network (WSN) have limited energy sources,
significantly impacting the network throughput. This article's research objective is to increase …
significantly impacting the network throughput. This article's research objective is to increase …
Monitoring Blockage and Overflow Events in Small-Sized Sewer Network Using Contactless Flow Sensors in Hong Kong: Problems, Causes, and Proposed Solution.
Effective monitoring and prediction systems for sewer overflow are essential for
safeguarding public health and the environment. Flow sensors have emerged as valuable …
safeguarding public health and the environment. Flow sensors have emerged as valuable …