Errors Detection in Big Sensor Data on Cloud using Time Efficient Technique

Abstract

Big sensor data is huge amount of data in both industry and scientific research application in which it generate high quantity of data. Cloud computing provides a special platform to support this challenge as it provides a flexible massive data, storage, and different software services in a scalable manner at low cost. Different technique has been developing in recent years for processing sensor data on cloud, such as sensor-cloud. But, these techniques do not provide efficient support on fast detection and locating of errors in big sensor data. For faster error detection in big sensor data sets, in this system, it develop a novel data error detection approach which gives the full feature of cloud platform and the network feature of Wireless sensor network(WSN). Firstly, it classifies a set of sensor data error types and then defined it. Specifically, in proposed system, the error detection is based on the scale-free network topology and most of detection operations can be conducted in clustered form not a whole big data set.