Efficient Sensor-Cloud Communication using Data Classification and Compression
Md. Tanvir Rahman, Md. Sifat Ar Salan, Taslima Ferdaus Shuva, Risala Tasin Khan · International Journal of Information Technology and Computer Science · 2017
Wireless Sensor Network, a group of specialized sensors with a communication infrastructure for monitoring and controlling conditions at diverse locations, is a recent technology which is getting popularity day by day.Besides, cloud computing is a type of high-performance computing that uses a network of remote servers which simultaneously provides the service to store, manage and process data rather than a local server or personal computer.An architecture called sensor-cloud is also providing good services by combining the capabilities from both ends.In order to provide such services, a large volume of sensor network data needs to be transported to cloud gateway with a high amount of bandwidth and time requirement.In this paper, we have proposed an efficient sensor-cloud communication approach that minimizes the enormous bandwidth and time requirement by using statistical classification based on machine learning as well as compression using deflate algorithm with a minimal loss of information.Experimental results describe the overall efficiency of the proposed method over the traditional and related research.