Analysis of Spectrum Utilization in Data Centers for Internet of Things

2021 ◽  
Author(s):  
Mardeni Roslee ◽  
Lee Loo Chuan ◽  
Pang Wai Leong ◽  
Khairil Anuar
Keyword(s):  
Internet Of Things ◽  
Data Centers ◽  
Spectrum Utilization

scholarly journals Performance Analysis of Cognitive Radio Based Internet-Of-Things Network for Energy Efficiency and Spectrum Utilization

2019 ◽  
Vol 8 (9S) ◽  
pp. 191-199
Keyword(s):  
Cognitive Radio ◽  
Energy Harvesting ◽  
Internet Of Things ◽  
Energy Efficient ◽  
Network Architecture ◽  
Cluster Head ◽  
Efficient Design ◽  
Energy Balancing ◽  
Spectrum Utilization ◽  
Selection Scheme

Energy and Spectrum are the two basic requirements in the realm of Internet-of-Things (IoT). The network of IoT is becoming larger day by day and the design of spectrum and energy efficient solution is a quite challenging task because of the rapid increase of connecting devices in IoT network. To make the system more energy and spectral efficient, energy harvesting and cognitive radio (CR) are the proficient solutions, respectively. This paper introduces a spectral and energy efficient design for CR based sensor networks. We present a network architecture, in which nodes or other sensing devices can use the spectrum opportunistically and energy harvesting can be done from different ambient sources. We then propose an 1) energy alancing scheme for heterogeneous network in which nodes will have different energy levels and 2) Cluster head (CH) selection scheme which will only be performed on the few nodes of network having the highest current energy to accomplish the ultimate goal of energy balancing in network, this analysis is performed with in the cluster. Furthermore, for the spectral efficiency, we propose a channel management scheme based on cognitive radio to allot the best available channel having highest reliability in respect of the bit error rate (BER) using. Comprehensive results exhibit the effectiveness in the performance of the proposed spectral and energy efficient schemes and show better performance over other schemes.

Swarm Intelligence-Based Uplink Power Control in Cognitive Internet of Things (CIoT) for Underlay Environment

2021 ◽  
Vol 12 (3) ◽  
pp. 180-194
Author(s):  
Babar Sultan ◽  
Imran Shafi ◽  
Jamil Ahmad
Keyword(s):  
Internet Of Things ◽  
Swarm Intelligence ◽  
Cognitive Abilities ◽  
Spectrum Sharing ◽  
Utilization Efficiency ◽  
Spectrum Utilization ◽  
Communication Performance ◽  
Bee Colony ◽  
Uplink Power Control

Internet of things (IoT) aims to shift intelligence to things and tends to increase the spectrum utilization efficiency. However, in doing so, it might generate high interference to the primary users (PUs) due to massive data flow into the networks. Cognitive radio smartly addresses this challenge by enabling different spectrum sharing modes while guaranteeing the quality of service. Motivated by this fact, the incorporation of cognitive abilities in IoT has given birth to a new sub-domain in IoT, known as Cognitive IoT (CIoT). This paper considers a single cell scenario in which multiple CIoT users (CUs) coexist with a PU in an underlay environment, and their communication performance has been optimized while adhering to the transmit power and interference constraints. Furthermore, two swarm intelligence-based implementations of the proposed algorithm have been provided, one based on Artificial Bee Colony (ABC) and the other based on Particle Swarm Optimization (PSO), and their effectiveness to solve the constrained power allocation problem for CIoT networks has been proved through simulations.

scholarly journals A Blockchain and FOT (Fog of Things) based system and method for predicting an Infectious disease transmitted by a virulent respiratory virus

2020 ◽  
Author(s):  
Naveen Tewari ◽  
Rajeev Kumar
Keyword(s):  
Infectious Disease ◽  
Internet Of Things ◽  
Data Centers ◽  
Respiratory Virus ◽  
Fog Computing ◽  
Patent Office ◽  
Human Beings ◽  
Cloud Data ◽  
Cloud Data Centers ◽  
To Receive

Abstract The present research is generally related to a system and method for predicting an infectious disease such as COVID-19 transmitted by a virulent respiratory virus. Disclosed are a system and method for predicting an infectious disease transmitted by a virulent respiratory virus. The system includes a plurality of Internet of Things (IoT) sensors, a plurality of fog node devices, and a plurality of computing devices in cloud data centers. The IoT sensors are configured to be coupled to a plurality of human beings to generate a health dataset. The fog node devices are associated with a fog layer to receive the health dataset from the IoT sensors to process and to store the health dataset over a blockchain network. The fog node devices process the health dataset at the fog layer by performing a fog computing. The computing devices and cloud data centers receive the processed health dataset from the of fog node devices over the blockchain network. This research is also filed for patent in Indian Patent Office with application number – 202011021969.

scholarly journals Fog Computing: Terminologies, Architecture and Challenges

2019 ◽  
Vol 6 (3) ◽  
pp. 7-13
Keyword(s):  
Internet Of Things ◽  
Load Balancing ◽  
Resource Availability ◽  
Data Centers ◽  
Job Scheduling ◽  
Fog Computing ◽  
Research Work ◽  
Work Related ◽  
The World ◽  
Exchange Data

Internet of things (IOT) made the world connected to each other through Internet. These gadgets are important to store data, to exchange data and to collect data from other sources. These devices are not perfectly capable to cooperate with data centers directly based on some parameters such as latency, resource availability, load balancing, scheduling and security. Fog computing (FC) paradigm is introduced to overcome the problems of these parameters. As it cooperate with centralized data centers. This paper presents a survey on Fog computing terminology. Here, the term fog computing has been discussed. Further its architecture, its challenges are highlighted. An overview of further research work related to dynamic job scheduling has been discussed.

Introduction of Blockchain and Usage of Blockchain in Internet of Things

2020 ◽  
pp. 1-15 ◽  
Author(s):  
Chandrasekar Ravi ◽  
Praveensankar Manimaran
Keyword(s):  
Internet Of Things ◽  
Data Centers ◽  
The Internet ◽  
Smart Contracts ◽  
Proof Of Concept ◽  
Access Management ◽  
Advantages And Disadvantages ◽  
The Common ◽  
The Internet Of Things ◽  
The Web

Since the advent of the web, the number of users who started using the internet for everyday purpose has increased tremendously. Most of the common purposes are to access their data whenever they want and wherever they want. So many companies have started providing these services to normal users. These companies store huge volume of data in the data centers. So protecting the integrity of the data is the main responsibility of these companies. Blockchain is one of the trending solutions that gives storage immutability to the users. This chapter starts with the working of blockchain and smart contracts and advantages and disadvantages of blockchain and smart contracts and then goes on to explain how blockchain can be integrated into the internet of things (IOT). This chapter ends with an architecture based on the proof-of-concept for access management, which is blockchain-based fully distributed architecture.

scholarly journals The Internet of Things Space Infrastructure. Current State and Development Prospects

2021 ◽  
Author(s):  
Mikhail Ilchenko ◽  
Teodor Narytnyk ◽  
Vladimir Prisyazhny ◽  
Segii Kapshtyk ◽  
Sergey Matvienko
Keyword(s):  
Internet Of Things ◽  
Data Storage ◽  
Communication Systems ◽  
Data Centers ◽  
Satellite Communication ◽  
Low Earth Orbit ◽  
Geostationary Orbit ◽  
Cloud Data ◽  
Cloud Data Storage ◽  
The Internet Of Things

This chapter presents an overview of possibilities for existing Satellite Communication Systems utilization to provide Internet of Things Services. It is shown that existing Satellite Communication Systems provide traffic transmission for Internet of Things Systems with Cloud Architecture. The propositions on possibility of Fog and Edge computing implementation in Satellite Communication Systems are proposed. The ways for Low-Earth Orbit and Geostationary Orbit Satellite Communication Systems modernization for Fog and Edge computing implementation for the Internet of Things Systems are presented. To increase the efficiency of IoT data processing and the reliability of Internet of Things Data Storage, it is proposed to generate an Orbital Cloud Data Storage in Geostationary Orbit, which consists of several Geostationary Orbit Satellites - Cloud Computing Data Centers. Methods for access provision to the Orbital Cloud Data Storage using Geostationary Orbit High-Throughput Satellites and satellites from the structure of Low-Earth Orbit Satellite Communication Systems are proposed. The issues of interaction between Orbital Cloud Data Storage and ground-based Cloud Data Processing and Storage Infrastructure are briefly considered. The orbital slots in Geostationary Orbit are proposed for location of Geostationary Orbit Satellites - Cloud Computing Data Centers.

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