A study on storage mechanism for heterogeneous sensor data on big data paradigm
Ruby Dinakar, S. Vagdevi · 2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT) · 2017
The promising growth of the IOT enables data-driven based decision making process which introduces a novel field called “Big data”. Several researchers and organizations have tried to define big data in different ways. Recently, the deployment of sensor networks are applied in wider range of applications like environment, medical, agriculture, transportation etc. Due to its enormous growth, and the amount of data in motion, the management of data becomes more significant. This paper carry out a study about the importance of data storage of heterogeneous sensor data. The acquired sensor data may be in redundant form. Data redundancy becomes the greatest issue in the storage analysis. Initially, it discuss the research challenges persist in big data. Secondly, it presents the prior works suggested by other researchers based on Big Data perspective. Finally, it proposes methodology for storing sensor data and conclude that there is no single solution available for the data redundancy issue of heterogeneous sensor data. This paper paves way for the budding researchers in the field of data acquisition and preprocessing module to obtain minimized storage cost under big data paradigm.