Cluster Based Adaptive Prediction Scheme for Energy Efficiency in Wireless Sensor Networks

Provided by: Creative Commons
Topic: Networking
Format: PDF
Wireless Sensor Network (WSN) is an emerging technology. WSNs usually consist of a large number of small sensor nodes with limited onboard energy supply and deployed densely in a given area for information harvesting purposes. Since the sensor devices has limited memory and power capacity, the power consumption in WSN becomes as a major issue now-a-days. So that, in the proposed framework, a scheme to reduce the power consumption in WSN is introduced. Proposed framework is clustering based. Clustering and prediction techniques, which use temporal correlation among the sensor data, provide a chance for reducing the energy consumption of continuous sensor data collection.

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