Lavanya et al., 2021 - Google Patents
A Tuned classification approach for efficient heterogeneous fault diagnosis in IoT-enabled WSN applicationsLavanya et al., 2021
- Document ID
- 6533416716114747724
- Author
- Lavanya S
- Prasanth A
- Jayachitra S
- Shenbagarajan A
- Publication year
- Publication venue
- Measurement
External Links
Snippet
The advancement of the Internet of Things (IoT) technologies will play a significant role in the growth of smart cities and industrial applications. Wireless Sensor Network (WSN) is one of the emerging technology utilized for sensing and data transferring processes in IoT-based …
- 238000003745 diagnosis 0 title abstract description 67
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
- G06N3/08—Learning methods
- G06N3/086—Learning methods using evolutionary programming, e.g. genetic algorithms
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/12—Computer systems based on biological models using genetic models
- G06N3/126—Genetic algorithms, i.e. information processing using digital simulations of the genetic system
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Error detection; Error correction; Monitoring responding to the occurence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/0706—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment
- G06F11/0709—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment in a distributed system consisting of a plurality of standalone computer nodes, e.g. clusters, client-server systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Error detection; Error correction; Monitoring responding to the occurence of a fault, e.g. fault tolerance
- G06F11/16—Error detection or correction of the data by redundancy in hardware
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance or administration or management of packet switching networks
- H04L41/06—Arrangements for maintenance or administration or management of packet switching networks involving management of faults or events or alarms
- H04L41/0654—Network fault recovery
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computer systems based on specific mathematical models
- G06N7/005—Probabilistic networks
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Lavanya et al. | A Tuned classification approach for efficient heterogeneous fault diagnosis in IoT-enabled WSN applications | |
| Saeed et al. | Fault diagnosis based on extremely randomized trees in wireless sensor networks | |
| Titouna et al. | Outlier detection approach using bayes classifiers in wireless sensor networks | |
| Chanak et al. | Fuzzy rule-based faulty node classification and management scheme for large scale wireless sensor networks | |
| Banerjee et al. | Effective fault detection and routing scheme for wireless sensor networks | |
| Mahapatro et al. | Fault diagnosis in wireless sensor networks: A survey | |
| Miao et al. | Agnostic diagnosis: Discovering silent failures in wireless sensor networks | |
| Zhang et al. | Outlier detection techniques for wireless sensor networks: A survey | |
| Rocha et al. | WSNs clustering based on semantic neighborhood relationships | |
| Yarinezhad et al. | Distributed faulty node detection and recovery scheme for wireless sensor networks using cellular learning automata | |
| Swain et al. | Automated fault diagnosis in wireless sensor networks: A comprehensive survey | |
| Prasad et al. | Self-detection based fault diagnosis for wireless sensor networks | |
| Gouda et al. | Distributed intermittent fault diagnosis in wireless sensor network using likelihood ratio test | |
| Karthik et al. | Data trust model for event detection in wireless sensor networks using data correlation techniques | |
| Babu et al. | Comprehensive analysis on sensor node fault management schemes in wireless sensor networks | |
| Yang | A practical method for connectivity and coverage reliability analysis for linear wireless sensor networks | |
| Alansari et al. | A comparison analysis of fault detection algorithms in wireless sensor networks | |
| Iswarya et al. | Algorithms for fault detection and diagnosis in wireless sensor networks using deep learning and machine learning-an overview | |
| CN104159251A (en) | Sensor network fault link inference method based on passive end-to-end | |
| Lan | A comprehensive review of fault-tolerant routing mechanisms for the internet of things | |
| ABID et al. | Anomaly detection in WSN: critical study with new vision | |
| Wang et al. | Abnormal event detection in wireless sensor networks based on multiattribute correlation | |
| Bapu et al. | Fault Tolerance in Wireless Sensor Networks-A Survey | |
| Syed et al. | A novel adaptive neuro-fuzzy inference system-differential evolution (Anfis-DE) assisted software fault-tolerance methodology in wireless sensor network (WSN) | |
| Devi et al. | Self-healing IoT sensor networks with isolation forest algorithm for autonomous fault detection and recovery |