Wireless sensor networks (WSN) have emerged as one of the most exciting fields in Computer Science research nowadays. A WSN is a collection of sensors that are incorporated with a physical domain. These sensors are little in size, and equipped for detecting physical wonder and handling them. The most vital reason for conveying the WSNs-built up applications is to make the ongoing determination which has been turned out to be extremely testing due to the absolute asset restricted processing, imparting limits, and the giant amount of speedy changed information created by WSNs. This motivates to investigate a novel and fitting data mining procedure equipped for extricating learning from enormous volume and an assortment of persistently arriving data from WSNs. In this paper diverse existing data mining strategies received for WSNs are inspected with various grouping, assessment approaches. Based on the barriers of the existing process, an adaptive data mining structure of WSNs for future research are proposed.

Wireless sensor network,Data mining.Sensor

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