Applying Distributed Classification Algorithms to Wireless Sensor Networks – A Brief View into the Application of the SPRINT Algorithm Family
Birger Lantow · 2008
The SPRINT algorithm describes a distributed way to construct a decision tree for classification in large data sets. It can be applied to in-network classification tree construction. The costly data transfer of sensor data to the sink can be avoided while execution time is still acceptable. The SPRINT algorithm and its extensions are introduced. Furthermore, different scenarios that implement classification tree construction based on WSN data are evaluated. A WSN-Model is given. Special characteristics of WSN are implied. Tools for a task specific selection of WSN data processing organisation are sketched.