Two Layer data Prediction and secured data transmission in WSN
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2017 by IJETT Journal|
|Year of Publication : 2017|
|Authors : Shashikumar R, Dr. Anupama A Deshponde, Dr. B. Mohankumar Naik
|DOI : 10.14445/22315381/IJETT-V54P231|
Shashikumar R, Dr. Anupama A Deshponde, Dr. B. Mohankumar Naik "Two Layer data Prediction and secured data transmission in WSN", International Journal of Engineering Trends and Technology (IJETT), V54(4),216-222 December 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
This Wireless Sensor Network (WSN) is one of the advance technologies for transmitting and receiving the sensor related information. The development of cyber-physical system (CPSs) can reduce the gap between physical world and the cyber world. The sensors sense the environmental data periodically. In continuous data sensing there are more redundant data, which leads to transmission of unnecessary bits and consumes energy. The prediction based approach has been implemented to reduce the data redundancy in the network and save the energy in the sensor nodes. It is a challenge to design a system which supports efficient method to sense and predict the data from different WSNs. Least Mean Square (LMS) and Kalman filters are used to predicate the data based on the actual value. Before transmitting the data has to be encoded. Blowfish Algorithm (BA) is implemented to encode the data. By encoding, data can be transmitted across wide range. The proposed system with LMS-Kalman filter can achieve better prediction accuracy, increase in network lifetime and privacy.
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Wireless Sensor Network (WSN), Cyber-Physical System (CPS), Least Means Square (LMS), Kalman Filter and Blowfish Algorithm (BA).