Big Data Analysis on WSN for Risk Analysis on Different Data
- Author Harjeet Kaur
- Co-Author Rachna Rjput
- DOI
- Country : India
- Subject : Computer Engineering
Keywords : RTBDG, big data, data, protocols etc.
Abstract
Big data represent a new era in data exploration and utilization and covers various industrial applications, for example, professionalizing business intelligence operation in the automobile industry, solving routing and scheduling problems in transportation systems , improving the performance of supply chains by minimizing the negative effect of demand uncertainties , providing security for buildings and physical infrastructure in home surveillance and security systems [1], and analyzing supply chains with radio-frequency identification technology from both the risk and benefit perspectives . There is various numbers of protocols and algorithms were proposed to decrease the consumption of energy. Here, a real-time big data gathering algorithm (RTBDG) is used for gathering the data in real-time. In RTBDG algorithm, sensor nodes can screen collected data from the sensors . Here in this work we are performing big data with different database files and getting 80% results on WSN.
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