|
| Names of authors | Summary | Strategy/algorithm | Unified approach |
|
| Dinesh Kumar et al., 2012 [30] |
(i) Sensor data filtration using neural network tools
(ii) Gateway level data filtration and compression | (i) KDS
(ii) Back propagation algorithm | KDS-NN
(neural network) |
|
| Khanna and Liu, 2012 [19] | (i) Genetic approach-based pattern identification and activity monitoring
(ii) Dynamicity of data collection tree | (i) KDS
(ii) Genetic algorithm | KDS-GA |
|
| Wu and Clements-Croome, 2007 [22] | (i) Sensor data mining
(ii) Knowledge discovery
(iii) Data calibration
(iv) Data cluster analysis
(v) Data replication control | (i) KDS
(ii) Data mining algorithm | KDS-DM |
|
| Boukerche et al., 2008 [23] | (i) Knowledge discovery for chronological patterns
(ii) Pattern identification
(iii) Pattern modeling
(iv) Pattern mining
(v) Behavioral pattern extraction | (i) KDS
(ii) Data mining algorithm | KDS-DM |
|
| He et al., 2010 [24] | (i) Knowledge discovery for real-time monitoring
(ii) Real-time data mining
(iii) Data calibration
(iv) Data reduction | (i) KDS
(ii) Data mining algorithm | KDS-DM |
|
| Defeng et al., 2010 [21] | (i) Sensor real-time application monitoring
(ii) Intellect at base station to monitor critical activities
(iii) Data processing operations | (i) KDS
(ii) Data mining algorithm | KDS-DM |
|
| Rodrigues et al., 2009 [25] | (i) Data mining and knowledge discovery from sensor data
(ii) Cluster-based data analysis | (i) KDS
(ii) Data mining algorithm | KDS-DM |
|
| Aggarwal, 2013 [26] | (i) Data elicitation
(ii) Data cleaning
(iii) Data management
(iv) Data mining | (i) KDS
(ii) Data mining algorithm | KDS-DM |
|
| Das, 2012 [27] | (i) Sensor association rule mining
(ii) Event-based knowledge pattern discovery | (i) KDS
(ii) Data mining algorithm | KDS-DM |
|
| Boukerche and Samarah, 2008 [28] | (i) Sensor association rule mining
(ii) Behavioral pattern discovery
(iii) Distributed data extraction | (i) KDS
(ii) Data mining algorithm | KDS-DM |
|
| Our work | (i) Promotes in-network KDS through D2K migration process
(ii) Implements fuzzy inference system for knowledge optimization and control at the CH level
(iii) Aims to be applied in safety-critical industrial applications | (i) KDS
(ii) D2K algorithm | KDS-FIS |
|
