ISSN: 2349-5162

JETIREXPLORE- Search Thousands of research papers



Published in:

Volume 3 Issue 3
March-2016
eISSN: 2349-5162

Unique Identifier

JETIR1603017

Page Number

71-77

Share This Article


Title

Single Window Monitoring Solution with Predictive Analysis for IOT: A Survey

ISSN

2349-5162

Cite This Article

"Single Window Monitoring Solution with Predictive Analysis for IOT: A Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 3, page no.71-77, March-2016, Available :http://www.jetir.org/papers/JETIR1603017.pdf

Abstract

The Internet of Things allows objects to be sensed and controlled remotely across existing network infrastructure. Monitoring objects behaviour in network, getting the parameter sensed by those objects and analyzing that data in a useful manner is challenging task. This paper is a detailed survey of different existing systems in the field of IOT and of Predictive Analysis done on IoT. The paper explains few of the systems and their advantages and drawbacks.

Key Words

Predictive Analysis Internet of Things Sensors

Cite This Article

"Single Window Monitoring Solution with Predictive Analysis for IOT: A Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 3, page no. pp71-77, March-2016, Available at : http://www.jetir.org/papers/JETIR1603017.pdf

Publication Details

Published Paper ID: JETIR1603017
Registration ID: 160068
Published In: Volume 3 | Issue 3 | Year March-2016
DOI (Digital Object Identifier):
Page No: 71-77
ISSN Number: 2349-5162

Download Paper

Preview Article

Download Paper




Cite This Article

"Single Window Monitoring Solution with Predictive Analysis for IOT: A Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 3, page no. pp71-77, March-2016, Available at : http://www.jetir.org/papers/JETIR1603017.pdf




Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0001317

Print This Page

Current Call For Paper