A Review on Glucose Monitoring Using Enabling Technologies of Internet of Things

2021 ◽  
Author(s):  
Anjalin Joy ◽  
T.H Hafsiya ◽  
Gnana King
Keyword(s):  
Internet Of Things ◽  
Glucose Monitoring ◽  
Enabling Technologies

Internet of Things and Cognitive Radio

2021 ◽  
Vol 11 (1) ◽  
pp. 39-52
Author(s):  
Badr Benmammar
Keyword(s):  
Cognitive Radio ◽  
Internet Of Things ◽  
Research Trends ◽  
Iot Applications ◽  
Enabling Technologies ◽  
Potential Applications ◽  
Worldwide Network

Internet of things (IoT) is a worldwide network of interconnected objects. However, the things-oriented, internet-oriented, semantic-oriented, and tactile-oriented versions of IoT are meaningless if the IoT objects are not equipped with intelligence. For this, current research trends are oriented towards cognitive radio. This paper presents IoT, its definition, its potential applications, its challenges, as well as its enabling technologies. Among these technologies, particular importance is given to cognitive radio. The overall objective of this paper is to make a global synthesis on the motivations as well as on the challenges to be raised by the integration of cognitive radio in IoT in order to serve as self-reconfigurable solutions for a certain number of IoT applications.

An Optimal Routing Algorithm for Internet of Things Enabling Technologies

2017 ◽  
Vol 4 (3) ◽  
pp. 1-16 ◽  
Author(s):  
Amol V. Dhumane ◽  
Rajesh S. Prasad ◽  
Jayashree R. Prasad
Keyword(s):  
Genetic Algorithm ◽  
Internet Of Things ◽  
Energy Cost ◽  
High Reliability ◽  
Routing Algorithm ◽  
Optimal Path ◽  
Cluster Head ◽  
Sensor Nodes ◽  
Trust Level ◽  
Enabling Technologies

In Internet of things and its relevant technologies the routing of data plays one of the major roles. In this paper, a routing algorithm is presented for the networks consisting of smart objects, so that the Internet of Things and its enabling technologies can provide high reliability while the transmitting the data. The proposed technique executes in two stages. In first stage, the sensor nodes are clustered and an optimal cluster head is selected by using k-means clustering algorithm. The clustering is performed based on energy of sensor nodes. Then the energy cost of the cluster head and the trust level of the sensor nodes are determined. At second stage, an optimal path will be selected by using the Genetic Algorithm (GA). The genetic algorithm is based on the energy cost at cluster head, trust level at sensor nodes and path length. The resultant optimal path provides high reliability, better speed and more lifetimes.

scholarly journals Augmented RFID Technologies for the Internet of Things and Beyond

Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 987
Author(s):  
Luciano Tarricone ◽  
Jasmin Grosinger
Keyword(s):  
Internet Of Things ◽  
Complex Systems ◽  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Cost Reduction ◽  
The Internet ◽  
Special Issue ◽  
Enabling Technologies ◽  
Frequency Identification ◽  
The Internet Of Things

Radio frequency identification (RFID) is one of the crucial enabling technologies for the Internet of Things (IoT). This is leading to a continuous augmentation of RFID technologies, in terms of sensing capabilities, energetic autonomy, usability, and cost affordability, and this special issue proposes an overview on such a challenging scenario. The proposed results, in terms of cost reduction, miniaturization, and compatibility with complex systems and technologies, as well as the identification of the relevant criticalities, also pave the way to future steps being taken that go beyond the current IoT.

A Survey on Internet of Things: Architecture, Enabling Technologies, Security and Privacy, and Applications

2017 ◽  
Vol 4 (5) ◽  
pp. 1125-1142 ◽  
Author(s):  
Jie Lin ◽  
Wei Yu ◽  
Nan Zhang ◽  
Xinyu Yang ◽  
Hanlin Zhang ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Security And Privacy ◽  
Enabling Technologies
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