An optimal method for duplication detection and elimination from air pollution data of wireless sensor network
by S. Beulah; F. Ramesh Dhanaseelan
International Journal of Environment and Waste Management (IJEWM), Vol. 21, No. 2/3, 2018

Abstract: Air pollution is one of the key factors to affect the health and life of the human, plants and animals. Air pollution happens when the air contains harmful amounts of gases, odour, dust or fumes. In this proposed system wireless sensor nodes are introduced to monitor and forecast the chemical values of air such as NO2, CO2, SO2 and O2. Recently, there is an increasing demand for storing huge amount of sensor data in digital form has become quite challenging task. Existing de-duplication solution of sensor data contains some weakness. They are not flexible to support data access control and revocation. Existing techniques do not improve the storage capacity and efficiency of the system. There will be a large amount of duplicate data are presented in the data storage. With the help of cloud storage, clients can able to retrieve, store and share data from anywhere at any time. This proposed work uses the post process de-duplication method in which the redundant and similar data are determined and eliminated efficiently for reducing the storage requirement for the data.

Online publication date: Thu, 28-Jun-2018

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