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A Survey on Data Perception in Cognitive Internet of Things, Journal of Telecommunications and Information Technology, 2019, nr 3
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Title: A Survey on Data Perception in Cognitive Internet of Things, Journal of Telecommunications and Information Technology, 2019, nr 3

Creator:

Bhajantri, Lokesh B. ; Baluragi, Prashant

Date:

2019, nr 3

Resource Type:

artykuł

Description:

A Cognitive Internet of Things (CIoT) is a brand of Internet of Things (IoT) with cognitive and agreeable mechanisms, which are incorporated to advance performance and accomplish insights into real world environments. CIoT can perceive present system’s conditions, analyze the apparent information, make smart choices, and increase the network performance. In this survey paper, we present classifications of data perception techniques used in CIoT. This paper also compares the data perception works against energy consumption, network life-time, resource allocation, and throughput, as well as quality of data and delay. In addition, simulation tools for IoT and their performance are discussed. Finally, we provide the model of cognitive agent-based data perception in CIoT for future research and development, which ensures the network performance in terms of reliability, energy efficient, accuracy, scalable, fault tolerant, and quality of data.

Publisher:

National Institute of Telecommunications

Format:

application/pdf

Resource Identifier:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:2109

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

Internet of Things Cognitive IT cognitive agents data perception

Object collections:

Last modified:

Feb 25, 2026

In our library since:

Oct 28, 2019

Number of object content hits:

163

All available object's versions:

https://ribes-54.man.poznan.pl/publication/2399

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Edition name Date
Bhajantri, Lokesh B.; Baluragi, Prashant, A Survey on Data Perception in Cognitive Internet of Things, Journal of Telecommunications and Information Technology, 2019, nr 3 Feb 25, 2026

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