Mining data generated by sensor networks: A survey

作者：Mahmood Azhar^*; Shi Ke; Khatoon Shaheen

来源：Information Technology Journal, 2012, 11(11): 1534-1543.

DOI：10.3923/itj.2012.1534.1543

• Battery power
• Clustering
• Communication bandwidth
• Data analysis techniques
• Data mining methods
• End users
• Frequentpattern
• Future trends
• Potential applications
• Resource Constraint
• Resources optimization
• S-N data
• Sensor data
• Sequentialpatterns
• Stream data

Sensor Networks (SNs) produces huge amount of data which offer promising prospect for the application of data analysis techniques to extract useful information for end users. Knowledge discovery from sensor data is an emerging research area due to their wide range of potential application of crucial importance to our society. Since sensors nodes are resource constraints in term of memory, communication bandwidth and battery power, therefore data piining techniques required to pieet these constraints while applying to SN data. This study presents the classification and evaluau¨on of Data Mining (DM) methods applied on sensor networks data, leading to more efficient techniques for resources optimization. Plenty of research work done on sensor networks but there is none of such study exist that focuses exclusively on data mining methods. The main contribution in this study is classifying and comparing the published data mining approaches in sensor networks and highhghts the challenges as well as future trends in applying data piining methods on SNs data.

• 出版日期2012
• 单位华中科技大学