Analysis of energy efficient data mining techniques in wireless sensor networks: A review

The fast development of wireless sensor networks has made a chance to accumulate and remove enormous measure of data from Wireless Sensor Networks. WSN is efficient instrument that empowers its clients to nearly screen, comprehend and control application handle. WSN consist of huge number of heterogeneous sensor hub spread over the extensive territory and help for wireless sensing and data processing. Information administration and handling for wireless sensor networks (WSNs) has turned into a theme of dynamic research in few fields of software engineering, for example, the dispersed frameworks, the database frameworks, and the information mining. A wireless sensor network is made out of countless and sensors and hubs. These sensors hubs have a few limitations like data is highly resource constraints, huge in volume. Because of their asset limitations, traditional information mining strategies are not reasonable to WSN. This inspires to outline a novel and proficient information digging procedures for WSN. In this paper diverse existing information digging procedures for WSN are studied and some research challenges related to the adoption of traditional data mining techniques are listed out.