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ABSTRACT
Title |
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Survey on energy consumption in wireless IOT |
Authors |
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Mahesh Patil, Mahesh Sutar, Sachin Waghmare, Prof. Kirti Panmand |
Keywords |
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Energy efficiency, Bigdata, Machine learning, Data mining |
Issue Date |
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January 2016 |
Abstract |
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This paper focuses the Internet of Things. Main enabling feature of this promising model is the integration of several technologies and communication solutions. Identification and tracking technologies, wired and wireless sensor and actuator networks, enhanced communication protocols (shared with the subsequently invention Internet), and distributed intelligence for smart objects are just the most appropriate. The Internet of Things represents a hallucination in which the Internet extends into the real world hypothesis everyday objects. Physical objects are no longer detached from the virtual world, but can be controlled remotely and can act as physical access points to Internet services. Internet of Things (IoT) is a theory that envisions all items around us as element of internet. IoT management is very wide and includes diversity of things like smart phones, tablets, and sensors. Once all these devices are linked to each other, they facilitate more and more smart processes and services that maintain our basic needs, surroundings and health. Such huge number of devices linked to internet provides many different services. They also generate enormous amount of data and information. To decrease the huge amount of data we need to use data mining algorithm to provide user only required and important information. |
Page(s) |
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19-23 |
ISSN |
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2229-3345 |
Source |
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Vol. 7, Issue.01 |
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