IOT as enablers of M2M communication in industries
Hardik Dilip Thakkar
, Srijita Bhattacharjee , Ashok Kanthe
Fragment, Uncertain Traffic Matrix, Storage.
An In this ever changing world of technology IoT (Internet of Things) and cloud services have become a leading benchmark of innovation and optimizing existing services. Internet of things is itself based on the sole idea of transforming every day to day device into a virtual source of information which can derive huge data sets and can help ourselves to advance as a Human race. This concept has indeed impacted the manufacturing and retail industry. Each day huge industries and their technical support team is devising new ways to exploit Internet of things to optimize their production and to minimize operations cost leading to more profits and better wages to the laborers. But if you consider huge number of machines at every local production center churning out KBs of message per second and then these messages are to be processed and transformed to derive live snapshot to managers and support units to take better decision and troubleshoot, then it is sure that the bandwidth and latency would be some of the exclusive parameters to ensure real time delivery and processing of data. In this paper we would looking at some of the technologies and framework which would help us to better utilize the bandwidth of the network in use and minimize the latency at the same time. The aim is to be comparing the methods and derive conclusive evidence on which method is better than the others.
"IOT as enablers of M2M communication in industries", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 11, page no.437 - 441, November-2018, Available :https://ijsdr.org/papers/IJSDR1811078.pdf
Volume 3
Issue 11,
November-2018
Pages : 437 - 441
Paper Reg. ID: IJSDR_180826
Published Paper Id: IJSDR1811078
Downloads: 000347233
Research Area: Engineering
Country: PUNE, MAHARASHTRA, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
