Congestion avoidance and fault detection in WSNs using data science techniques.
Hafiza Syeda Zainab KazmiNadeem JavaidMuhammad AwaisMuhammad TahirSeong-O ShimYousaf Bin ZikriaPublished in: Trans. Emerg. Telecommun. Technol. (2022)
Keyphrases
- fault detection
- congestion avoidance
- data science
- wireless sensor networks
- big data
- statistical learning
- machine learning
- fault diagnosis
- atm networks
- industrial processes
- energy consumption
- fault identification
- congestion control
- sensor nodes
- routing algorithm
- tennessee eastman
- failure detection
- sensor networks
- bandwidth allocation
- robust fault detection
- end to end
- routing protocol
- fuel cell
- expert systems
- databases
- ad hoc networks
- power plant
- quality of service
- data management
- response time
- supervised learning
- wavelet transform
- management system
- active learning
- artificial neural networks