Open AccessA Survey on Data Perception in Cognitive Internet of Things
Author(s) -
Lokesh B. Bhajantri,
Prashant Balugari
Publication year - 2019
Publication title -
journal of telecommunications and information technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.151
H-Index - 12
eISSN - 1899-8852
pISSN - 1509-4553
DOI - 10.26636/jtit.2019.131419
Subject(s) - computer science , scalability , reliability (semiconductor) , throughput , cognitive network , perception , cognition , internet of things , energy consumption , computer network , cognitive radio , computer security , telecommunications , database , engineering , psychology , power (physics) , physics , quantum mechanics , neuroscience , electrical engineering , wireless
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 classications 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 ecient, accuracy, scalable, fault tolerant, and quality of data.