Adaptive Framework Combining Sensors for Data Monitoring
Dr. K V V Satyanarayana1, S Vijay Kumar2
1Dr. K V V Satyanarayana, Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P), India.
2S Vijay Kumar, Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P), India.
Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 1290-1293 | Volume-8 Issue-7, May 2019 | Retrieval Number: G6367058719/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Internet of Things (IoT) is an emerging concept to explore different services and increase quality of service parameters in real time applications. Major challenge behind heterogeneous data processing effectively to extract features from data sources by constrained IOT intelligence to enhance improvement of wireless sensor networks. So that in this paper we propose Pro-tagg, we also propose an effective disseminated mining calculations called GMP Mine and Cluster Ensemble (CE) calculation (anticipate straightaway) to limit the quantity of gatherings with the end goal that individuals in every one of the found gatherings are exceptionally related by their development designs. We also compress data and mine relative moving data in network to explore different locations of objects in wireless sensor networks. Proposed approach gives better and efficient results with respect to provide privacy for different nodes in wireless network communication.
Keyword: Internet of Things, Wireless Sensor Networks, Resource Utilization, Pro-Tagg.
Scope of the Article: Data Mining.