Analysis of Data Prediction Algorithms in Wireless Sensor Networks
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 5
Abstract
Wireless Sensor Network (WSNs) is a network that consists of several sensor nodes which are resource constrained. The nodes gather data from external environment and send data to base station. The major problem in the sensor node is the energy consumption during transmission. To address this issue data prediction is used in this paper. Derivative Based Prediction Algorithm(DBP), Auto Regressive Prediction Algorithm(AR), Moving Average Prediction Algorithm(MA) and Auto Regressive Integrated Moving Average Prediction Algorithm(ARIMA) also is analyzed and observed that ARIMA model provides least RMSE and much suitable for data prediction in sensor network .
Authors and Affiliations
R. Rebecca, S. Kalaivani
Keywords
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