Recover the Missing Data in IoT by Edge Analytics

Jodi lakshmi*, B. Lalitha**
*PG Scholar, Jawaharlal Nehru Technological University Anantapur, Andhra Pradesh, India.
**Assistant Professor, Department of Computer Science and Engineering, Jawaharlal Nehru Technological University Anantapur, Andhra Pradesh, India.
Periodicity:October - December'2018


Due to advancements in information technology, the Internet of Things (IoT) has been emerging as the next big move in our daily lives. The IOT is rapidly transforming into a highly heterogeneous ecosystem that provides interoperability among different types of devices and communication technologies. The proposed system for recovery of incomplete sensed data by using IOT. So, to recognize and identify all the data automatically IoT requires new solutions for the different physical objects into a global ecosystem. IOT applications collect huge amount of data from all connected sensors. IOT recovers the missing data from IOT sensors by utilizing data from related sensors. To recover missing data an algorithm MapR Edge is introduced. MapR Edge more powerful clustering algorithm which has the ability to send data back to cloud for a faster and more significant data. In this project only three nodes are being used where automatically computations are performed at the sensor, where each sensor is connected independently to the cloud. Whenever the data crosses its destiny value at the nodes, that particular data will be sent to the cloud server. Missing values can be estimated from neighboring nodes.


IoT (Internet of Things), Sensors, GPRS Technology, MapR Edge Clustering Algorithm

How to Cite this Article?

Lakshmi, J., Lalitha, B. (2018). Recover the Missing Data in IoT by Edge Analytics, i-manager's Journal on Software Engineering, 13(2), 25-28.


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