UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 11 Issue 5
May-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2405795


Registration ID:
540527

Page Number

h756-h761

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Title

Data Centric Machine-To-Machine Communication

Abstract

In today's interconnected era, the integration of Raspberry Pi and robust security algorithms alongside the burgeoning Internet of Things (IoT) landscape serves as a pivotal force in fortifying privatized network devices against potential intrusions. This amalgamation capitalizes on connectivity as the backbone, facilitating seamless communication and information exchange among myriad devices. With the exponential growth of the Internet, the opportunity to establish private networks has blossomed, emphasizing not only connectivity but also safety. Leveraging emerging IoT technologies, including electronic hardware and protocols, offers new avenues for device interconnection and communication while ensuring stringent security measures are in place. This comprehensive literature review delves into diverse methods, protocols, and middleware platforms enabling the creation of privatized networks for various applications. Highlighting prevalent protocols such as MQTT, VSL, CoAP, AMQP, and the Data Distribution Service (DDS), it emphasizes the significance of real-time, scalable data distribution in distributed systems. Central to the discussion is the integration of Raspberry Pi's versatility and affordability, to ensure the resilience of privatized network devices and enhance the overall integrity and security of IoT ecosystems.

Key Words

Raspberry Pi, ESP8266, MQTT (Message Queuing Telemetry Transport), DDS (Data Distribution Service), UDP (User Datagram Protocol).

Cite This Article

"Data Centric Machine-To-Machine Communication", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.h756-h761, May-2024, Available :http://www.jetir.org/papers/JETIR2405795.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Data Centric Machine-To-Machine Communication", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. pph756-h761, May-2024, Available at : http://www.jetir.org/papers/JETIR2405795.pdf

Publication Details

Published Paper ID: JETIR2405795
Registration ID: 540527
Published In: Volume 11 | Issue 5 | Year May-2024
DOI (Digital Object Identifier):
Page No: h756-h761
Country: Bangalore Rural, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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