A Survey on Internet of Vehicle (IoV): A pplications & Comparison of VANETs, IoV and SDN-IoV

2021 ◽  
Vol 20 (3) ◽  
pp. 26-31
Author(s):  
Arif Hakimi ◽  
Kamaludin Mohamad Yusof ◽  
Muhammad Afizi Azizan ◽  
Muhamad Azam Asri Azman ◽  
Shaik Mazhar Hussain
Keyword(s):  
Communication Network ◽  
Network Architecture ◽  
New Technologies ◽  
Connected Vehicles ◽  
Time Data ◽  
Survey Paper ◽  
Real Time Data ◽  
Evolution Of Communication ◽  
Adhoc Networks ◽  
Network Technologies

The swift evolution of communication network technologies brings the smart connected objects into existence. The objects or things are connected and able to communicate with each other through Internet of Things (IoT). Internet of Vehicle (IoV) are the subset of the IoT technologies that has been implemented to the vehicle. IoV is the evolution of traditional Vehicular Adhoc Networks (VANETs) bringing new technologies to the smart connected vehicles. IoV network communication is purposedly to serve a real time data exchanged on roads between the vehicles and roads, vehicles and vehicles, vehicle and sensors, and vehicles and everything through different network technologies. There are significant differences between IoV, SDN-IoV and VANETs in term of network architecture, features, and applications that available. IoV and IoV-SDN is using different network framework giving different flexibility and scalability. In term of features and applications, IoV and IoV-SDN are having more wider and broad wireless connection technology in contrast with VANETs. In this survey paper, the survey will focus on the introduction to SDN, and differences of application and features in IoV, SDN-IoV and VANETs.

Status Monitoring and Fault Diagnosis Network System Based on UPnP

2007 ◽  
Vol 353-358 ◽  
pp. 2632-2635
Author(s):  
Pei Yu Li ◽  
Da Peng Tan ◽  
Tao Qing Zhou ◽  
Bo Yu Lin
Keyword(s):  
Fault Diagnosis ◽  
Embedded System ◽  
Real Time ◽  
Data Storage ◽  
Network Architecture ◽  
Network System ◽  
Time Data ◽  
Status Monitoring ◽  
Self Recognition ◽  
Real Time Data

Aiming at some problems in the fields of industry monitoring technology (IMT) such as bad dynamic ability and poor versatility, this paper brought forward a kind of intelligent Status monitoring and Fault diagnosis Network System (SFNS) based on UPnP-Universal Plug and Play. The model for fault diagnosis network system was established according to characteristics and requirements of IMT network, and system network architecture was designed and realized by UPnP. Using embedded system technology, real-time data collection node, monitoring center node and data storage server were designed, and that supplies powerful real-time data support for SFNS. Industry fields experiments proved that this system can realize self recognition, seamless linkage and other self adapting ability, and can break through the limitation of real IP address to achieve real-time remote monitoring on line.

scholarly journals Emerging network architecture of ultrafast fixed broadband technologies and solutions

2020 ◽  
Vol 9 (3) ◽  
pp. 837
Author(s):  
Dimov Stojce Ilcev
Keyword(s):  
Communication Network ◽  
Optical Networks ◽  
Network Architecture ◽  
Broadband Communication ◽  
Traditional Architecture ◽  
Communication Techniques ◽  
Interface Specification ◽  
Basic Concepts ◽  
Network Technologies ◽  
Service Interface

This article is introducing the development and emerging network architecture of the newest ultrafast fixed broadband (BB) technologies and solutions in the terrestrial telecommunication industries right across the globe. The modern ultrafast networks and access technologies are known as G.fast, Data Over Cable Service Interface Specification 3.1 (DOCSIS 3.1), and Gigabit Passive Optical Networks (GPON). The basic concepts associated with broadband communication network technologies with emphasis on the provision of multipurpose service focused on the evolution and challenging fields of the broadband communication techniques from the traditional architecture to the incorporation of virtualization services here are also discussed. 

scholarly journals High Performance Predictive Analytics in IoT

2019 ◽  
Vol 8 (4) ◽  
pp. 9266-9270
Keyword(s):  
Real Time ◽  
Network Architecture ◽  
High Performance ◽  
Predictive Analytics ◽  
Time Data ◽  
New Techniques ◽  
Real Time Data ◽  
Iot Devices ◽  
Indexing Technique ◽  
To Receive

Internet of things (IoT) is a quick-moving gathering of web associated sensors implanted in a wide-extending assortment of physical articles. While things can be any physical item (energize or lifeless) on the planet, to which you could associate or implant a sensor. Sensors can take countless potential estimations. Sensors produce gigantic measures of new, organized, unstructured, ongoing information, and structures enormous information. IoT information is exceptionally huge and confused, which can give genuine-time setting and supposition data about genuine articles or nature. Among the different challenges that the present IoT is facing, the three prime areas of concern are, need of efficient framework to receive IoT data, a need of a new scalable parallel indexing technique for efficiently storing IoT data and securing IoT generated data at all the stages i.e. from the edge devices to the cloud. A new efficient framework is introduced, which can retrieve meaningful information from these IoT devices and efficiently index it. For processing such enormous real time data generated from IoT devices, new techniques are introducing which are scalable and secure. The research proposes a general IoT network architecture. It describes the interconnectivity among the different things such as sensors, receivers and cloud. The proposed architecture efficiently receives real time data from all the sensors. The prime focus is on the elimination of the existing issues in IoT. Along with this, the provision has to make for standard future proofing against these new proposed schemes.

82 Application of Precision Sensor Technologies, Real-time Data Analytics, and Dynamic Models on Extensive Western Rangeland Grazing Systems

2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 43-44
Author(s):  
Hector M Menendez ◽  
Jameson Brennan
Keyword(s):  
Mathematical Models ◽  
Real Time ◽  
Data Analytics ◽  
Nutrient Dynamics ◽  
New Technologies ◽  
Livestock Production ◽  
Unintended Consequences ◽  
Movement Behavior ◽  
Time Data ◽  
Real Time Data

Abstract Approximately 40% of the land use within the Northern Great Plains is dedicated to livestock production, with much of the 89.9 million head of cattle and calves in the U.S. concentrated in this area. Precision livestock management has ushered in a new era of sensors and technology to monitor individual animal’s health, reproductive, and nutritional status in real-time to improve efficiency. Despite these advances, most of the research has been conducted on dairy operations or within feedlot settings. Incorporation on extensive rangeland production systems remains relatively absent (Brennan et al., 2021). This is primarily due to difficulties in studying animals on rangelands caused by heterogeneity of forage resources, variable environmental conditions, and challenges associated with accessing information across vast distances, often without cellular or internet connection. Advances in communication technology are increasingly connecting remote areas, creating new opportunities to improve livestock production efficiency on extensive rangelands using precision technology. Numerous challenges still exist, including applying and integrating multiple technologies across platforms, effectiveness in a real-world setting, technical skills, and knowledge to utilize real-time data, and achieving economic return for livestock producers. Specifically, we discuss the application of precision technologies and mathematical models for improving ruminant nutrition in rangeland systems (Menendez and Tedeschi, 2020). Opportunities exist to refine or develop the next generation of equations/models that more adequately represent nutrient dynamics such as diet selection, supplementation, movement, behavior, water intake, feed conversion efficiency, heat/cold stress, and gain on an individual animal basis. However, effective adoption and adaptability of new technologies/data analytics merit the consideration of potential intended-and-unintended consequences, such as producer dependency on complex hardware and software systems. Hence, precision capabilities coupled with mathematical models are likely the next step to substantially enhance livestock performance in extensive systems when coupled with feasible and reliable long-term strategies.

399-P: Nurse-Driven Intervention Using Real-Time Data to Improve Hypoglycemia Rates in a Respiratory Care Unit

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 399-P
Author(s):  
ANN MARIE HASSE ◽  
RIFKA SCHULMAN ◽  
TORI CALDER
Keyword(s):  
Real Time ◽  
Respiratory Care ◽  
Time Data ◽  
Real Time Data

An overview of the 5G mobile network architecture

2018 ◽  
Author(s):  
Phanidra Palagummi ◽  
Vedant Somani ◽  
Krishna M. Sivalingam ◽  
Balaji Venkat
Keyword(s):  
Wireless Network ◽  
Mobile Networks ◽  
Network Architecture ◽  
Mobile Network ◽  
Communication Technologies ◽  
Future Generation ◽  
Network Function Virtualization ◽  
Low Latency ◽  
High Bandwidth ◽  
Network Technologies

Networking connectivity is increasingly based on wireless network technologies, especially in developing nations where the wired network infrastructure is not accessible to a large segment of the population. Wireless data network technologies based on 2G and 3G are quite common globally; 4G-based deployments are on the rise during the past few years. At the same time, the increasing high-bandwidth and low-latency requirements of mobile applications has propelled the Third Generation Partnership Project (3GPP) standards organization to develop standards for the next generation of mobile networks, based on recent advances in wireless communication technologies. This standard is called the Fifth Generation (5G) wireless network standard. This paper presents a high-level overview of the important architectural components, of the advanced communication technologies, of the advanced networking technologies such as Network Function Virtualization and other important aspects that are part of the 5G network standards. The paper also describes some of the common future generation applications that require low-latency and high-bandwidth communications.

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