scholarly journals Availability Modeling and Performance Improving of a Healthcare Internet of Things (IoT) System

IoT ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 310-325
Author(s):  
Shensheng Tang ◽  
Yi Xie
Keyword(s):  
Internet Of Things ◽  
Performance Metrics ◽  
Human Life ◽  
System Modeling ◽  
Balance Equations ◽  
Iot Applications ◽  
Markov State ◽  
And Performance ◽  
Availability Modeling ◽  
Availability Model

Internet of Things (IoT) is improving human life in a more convenient and simpler way. One of the most promising IoT applications is healthcare. In this paper, an availability model of a healthcare IoT system is proposed which is composed of two groups of structures described by separate Markov state-space models. The two separate models are analyzed and combined to implement the whole IoT system modeling. The system balance equations are solved under a given scenario and some performance metrics of interest, such as probabilities of full service, degraded service, and the system unavailability, are derived. Detailed numerical evaluation of selected metrics is provided for further understanding and verification of the analytic results. An availability performance improving (API) method is also proposed for increasing the probability of system full service and decreasing the system unavailability. The proposed system modeling and performance improving method can serve as a useful reference for general IoT system design and evaluation.

scholarly journals Elasticity for MQTT Brokers in IoT Applications

2021 ◽  
Vol 2020 (2) ◽  
pp. 61-73
Author(s):  
Linh Manh Pham
Keyword(s):  
Internet Of Things ◽  
Power Consumption ◽  
Service Providers ◽  
Human Life ◽  
Low Power Consumption ◽  
The Internet ◽  
Embedded Devices ◽  
New Approach ◽  
Iot Applications ◽  
The Internet Of Things

Many domains of human life are more and moreimpacted by applications of the Internet of Things (i.e., IoT).The embedded devices produce masses of data day after dayrequiring a strong network infrastructure. The inclusion ofmessaging protocols like MQTT is important to ensure as fewerrors as possible in sending millions of IoT messages. Thisprotocol is a great component of the IoT universe due to itslightweight design and low power consumption. DistributedMQTT systems are typically needed in actual applicationenvironments because centralized MQTT methods cannotaccommodate a massive volume of data. Although beingscalable decentralized MQTT systems, they are not suited totraffic workload variability. IoT service providers may incurexpense because the computing resources are overestimated.This points to the need for a new approach to adapt workloadfluctuation. Through proposing a modular MQTT framework,this article provides such an elasticity approach. In order toguarantee elasticity of MQTT server cluster while maintainingintact IoT implementation, the MQTT framework used offthe-shelf components. The elasticity feature of our frameworkis verified by various experiments.

SystemC Platform Modeling for Behavioral Simulation and Performance Estimation of Embedded Systems

2010 ◽  
pp. 219-243 ◽  
Author(s):  
Hector Posadas ◽  
Juan Castillo ◽  
David Quijano ◽  
Victor Fernandez ◽  
Eugenio Villar ◽  
...  
Keyword(s):  
Embedded Systems ◽  
Design Space Exploration ◽  
Performance Metrics ◽  
System Modeling ◽  
Performance Estimation ◽  
Behavioral Simulation ◽  
Close Interaction ◽  
Accurate Performance ◽  
And Performance ◽  
On Chip

Currently, embedded systems make use of large, multiprocessing systems on chip integrating complex application software running on the different processors in close interaction with the application-specific hardware. These systems demand new modeling, simulation, and performance estimation tools and methodologies for system architecture evaluation and design exploration. Recently approved as IEEE 1666 standard, SystemC has proven to be a powerful language for system modeling and simulation. In this chapter, SCoPE, a SystemC framework for platform modeling, SW source-code behavioral simulation and performance estimation of embedded systems is presented. Using SCoPE, the application SW running on the different processors of the platform can be simulated efficiently in close interaction with the rest of the platform components. In this way, fast and sufficiently accurate performance metrics are obtained for design-space exploration.

scholarly journals Deep Learning Based BackCom Multiple Beamforming for 6G UAV IoT Networks

2020 ◽  
Author(s):  
Fei Qi ◽  
Wenjing Li ◽  
Peng Yu ◽  
Lei Feng ◽  
Fanqin Zhou
Keyword(s):  
Deep Learning ◽  
Internet Of Things ◽  
Unmanned Aerial Vehicles ◽  
Communication Technologies ◽  
Obvious Advantage ◽  
Iot Applications ◽  
Reflective Surface ◽  
Aerial Vehicles ◽  
Simulation Results ◽  
And Performance

Abstract Combining unmanned aerial vehicles (UAVs) with 6G, Internet of Things (IoT) and other emerging communication technologies could better satisfy various IoT applications and create more innovative services. This paper develops a novel hierarchical 6G IoT network with UAVs in the sky and intelligent reflective surface (IRS) equipped. The system employs backscattering communication (BackCom) to transmit data in a free-ride manner. Through beamforming, IRS enhances the energy of the reflectable signal, thereby improving the distance and performance of the BackCom. Simulation results reveal that our approach makes a significant improvement to the performance of the whole system, and takes obvious advantage over traditional solutions.

A Novel Survey on Blockchain for Internet of Things

2020 ◽  
pp. 68-90
Author(s):  
Jay Kumar Jain ◽  
Varsha Jain
Keyword(s):  
Information Security ◽  
Internet Of Things ◽  
Human Life ◽  
Future Research ◽  
Future Directions ◽  
Iot Applications ◽  
Lack Of Information ◽  
Financial Benefits ◽  
Key Characteristics ◽  
The Internet Of Things

Internet of things (IoT) is ready to change human life and release tremendous financial benefits. It may be that lack of information security and the belief of the current IoT are actually restricting its selection. Blockchain changes in an appropriated and secure record holds reliable records of information in various areas and possibly resolves information security concerns in the IoT system. This chapter presents a thorough review on the existing blockchain progress with an accent on IoT applications. The authors first give an overview of blockchain architecture including blockchain technologies and key characteristics of blockchain. The authors then discuss the blockchain for the internet of things including blockchain for IoT: technologies. Furthermore, they list some challenges and problems that will hinder blockchain development and summarize some existing approaches for solving these problems. Some possible future directions are also discussed. Future research bearings are ordered for a viable mix of blockchains in the IoT system.

scholarly journals Deep learning-based BackCom multiple beamforming for 6G UAV IoT networks

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Fei Qi ◽  
Wenjing Li ◽  
Peng Yu ◽  
Lei Feng ◽  
Fanqin Zhou
Keyword(s):  
Deep Learning ◽  
Internet Of Things ◽  
Unmanned Aerial Vehicles ◽  
Communication Technologies ◽  
Obvious Advantage ◽  
Iot Applications ◽  
Reflective Surface ◽  
Aerial Vehicles ◽  
Simulation Results ◽  
And Performance

AbstractCombining unmanned aerial vehicles (UAVs) with 6G, Internet of Things (IoT) and other emerging communication technologies could better satisfy various IoT applications and create more innovative services. This paper develops a novel hierarchical 6G IoT network with UAVs in the sky and intelligent reflective surface (IRS) equipped. The system employs backscattering communication (BackCom) to transmit data in a free-ride manner. Through beamforming, IRS enhances the energy of the reflectable signal, thereby improving the distance and performance of the BackCom. Simulation results reveal that our approach makes a significant improvement to the performance of the whole system and takes obvious advantage over traditional solutions.

scholarly journals A Multi-Attribute Trust-based Authentication Model for Internet of Things based Military Environment

2020 ◽  
Vol 8 (6) ◽  
pp. 2459-2465
Keyword(s):  
Internet Of Things ◽  
Performance Metrics ◽  
Human Life ◽  
Vital Role ◽  
Network Function ◽  
Authentication Mechanism ◽  
Maximum Effort ◽  
Working Together ◽  
Iot Devices ◽  
The Military

The Internet of Things (IoT) is an emerging field where physical objects are connected over the network, by the way, to make human life easy and more comfortable. The IoT environment is involved with various devices and those are working together to attain a common goal. The enhanced technology of IoT enables the military environment to work on it. Typically, most of the IoT devices are restricted in terms of their storage, process, compute and network capability. Hence, those devices are easy to attack and compromise. Compromised devices become behave as blackhole attacks. To assure the proper network function, we are in the situation to overcome those types of attacks. As trust plays a vital role in decision making, in this paper we proposed a Multi-attribute Trust-based Authentication mechanism (MTA). The ultimate aim of this model is to ensure authentication among the participating devices by identifying black hole nodes in the network. This multi-attribute trust calculation approach provides a maximum effort to evaluating the trustworthiness of devices. The simulation results show the applicability of the proposed model in terms of various performance metrics.

scholarly journals Deep Learning Based BackCom Multiple Beamforming for 6G UAV IoT Networks

2021 ◽  
Author(s):  
Fei Qi ◽  
Wenjing Li ◽  
Peng Yu ◽  
Lei Feng ◽  
Fanqin Zhou
Keyword(s):  
Deep Learning ◽  
Internet Of Things ◽  
Unmanned Aerial Vehicles ◽  
Communication Technologies ◽  
Obvious Advantage ◽  
Iot Applications ◽  
Reflective Surface ◽  
Aerial Vehicles ◽  
Simulation Results ◽  
And Performance

Abstract Combining unmanned aerial vehicles (UAVs) with 6G, Internet of Things (IoT) and other emerging communication technologies could better satisfy various IoT applications and create more innovative services. This paper develops a novel hierarchical 6G IoT network with UAVs in the sky and intelligent reflective surface (IRS) equipped. The system employs backscattering communication (BackCom) to transmit data in a free-ride manner. Through beamforming, IRS enhances the energy of the reflectable signal, thereby improving the distance and performance of the BackCom. Simulation results reveal that our approach makes a significant improvement to the performance of the whole system, and takes obvious advantage over traditional solutions.

scholarly journals Energy Efficient Low Resource Consumption Lightweight Block Ciphers for Internet of Things

2019 ◽  
Vol 8 (3) ◽  
pp. 1449-1456
Keyword(s):  
Internet Of Things ◽  
Performance Metrics ◽  
Resource Constraints ◽  
Block Ciphers ◽  
Security And Privacy ◽  
Comparative Performance ◽  
Common Solution ◽  
Iot Applications ◽  
Cryptographic Algorithm ◽  
Personalized Services

Internet of Things (IoT) refers the system of interrelated heterogeneous uniquely identifiable devices with the ability to collect data and communicate with each other to enable applications/services. The security and privacy are the two major issues as IoT applications are providing personalized services by collecting users' private, sensitive and confidential data. The traditional cryptographic methods are not appropriate for most of the IoT applications due to resource-constraints. The lightweight block ciphers are the most common solution to provide security and privacy in IoT. In this paper, various popular lightweight block cipher algorithms and their performance metrics are discussed in detail. The comparative performance analysis of the block ciphers are investigated through experimental study in terms of various metrics and their results are presented. Based on the study, we made recommendations to choose a suitable cryptographic algorithm for an IoT environment depending upon the desired level of security and privacy requirements. The detailed directions are also given which can be considered as guidelines for designing new security solutions.

Weight-Loss Program Assistance System for Obesity Patients Based on Internet of Things (IoT) Technology

2017 ◽  
Vol 8 (1) ◽  
Author(s):  
I Gusti Bagus Astawa ◽  
I Ketut Agung Enriko
Keyword(s):  
Weight Loss ◽  
Internet Of Things ◽  
Mobile Application ◽  
Human Life ◽  
Weight Loss Program ◽  
Internet Technology ◽  
Healthcare Sector ◽  
Home Automation ◽  
Index Terms ◽  
Use Of Internet

These days, the use of Internet technology can be found in almost every sector of human life. One of the advanced Internet technologies is Internet of Things (IoT), that is a technology where devices can communicate via Internet connectivity. It is used in many vital industries like automotive, electricity, home automation, and healthcare. This study aims to implement IoT technology for healthcare sector, i.e. in helping obesity people to pursue their weight-loss program (WLP). The result is a system which consists of a smart weight scale, a mobile application, and food menu recommendation database in order to help obesity people in their WLP program. A trial to some obesity patients is performed to collect data. Index Terms—Internet of things; overweight; weight loss program; food recommendation

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