Adaptive Framework Combining Sensors and IoT for Data Monitoring in Restricted Areas
BH Surya Mallika1, V V Siva Rama Raju2

1BH. Surya Mallika, CST, S.R.K.R.E.C., Bhimavaram, India.
2V. V. Sivaramaraju, CST, S.R.K.R.E.C., Bhimavaram, India.
Manuscript received on 26 August 2019. | Revised Manuscript received on 10 September 2019. | Manuscript published on 30 September 2019. | PP: 564-567 | Volume-8 Issue-11, September 2019. | Retrieval Number: K15740981119/2019©BEIESP | DOI: 10.35940/ijitee.K1574.0881119
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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: The deployment of Internet-of-Things (IoT) enables an even richer variety of sensors at a much larger scale. Where offloading both the evaluation and the polling of IoT sensor data to the cloud would improve energy efficiency and data transfer costs for the mobile. We build an energy efficient framework for Combining Sensors and IoT to help developers easily builds applications that evaluate sensor data on the server via data transmission. We built a advanced framework to compress data i.e Novel Data Compression Approach that helps the user to know the regular movement of particular person with the sensor within the limited premises and the location surveillance of the host will be saving the location data with some security measures We also implement our protocol and compare it with the certificate-based scheme to illustrate its feasibility.
Keywords: Internet of Things, Wireless sensor networks, Resource utilization, Pro-tagg.
Scope of the Article: