Bridging the IoT Gap Through Edge Computing

2019 ◽  
pp. 1-9
Author(s):  
R. I. Minu ◽  
G. Nagarajan
Keyword(s):  
Internet Of Things ◽  
Information Needs ◽  
Edge Computing ◽  
The Internet ◽  
Cloud Server ◽  
The Cost ◽  
The Internet Of Things ◽  
Clear Objective ◽  
Origin Point

In the present-day scenario, computing is migrating from the on-premises server to the cloud server and now, progressively from the cloud to Edge server where the data is gathered from the origin point. So, the clear objective is to support the execution and unwavering quality of applications and benefits, and decrease the cost of running them, by shortening the separation information needs to travel, subsequently alleviating transmission capacity and inactivity issues. This chapter provides an insight of how the internet of things (IoT) connects with edge computing.

scholarly journals A Middleware with Comprehensive Quality of Context Support for the Internet of Things Applications

Sensors ◽  
2017 ◽  
Vol 17 (12) ◽  
pp. 2853 ◽  
Author(s):  
Berto Gomes ◽  
Luiz Muniz ◽  
Francisco da Silva e Silva ◽  
Davi dos Santos ◽  
Rafael Lopes ◽  
...  
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Quality Of Context ◽  
The Internet Of Things

scholarly journals IMPROVING INTERNET OF THINGS PARKING SYSTEMS

2021 ◽  
Vol 19 (3) ◽  
pp. 163
Author(s):  
Dušan Bogićević
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Cloud Computing ◽  
Internet Of Things ◽  
Information Needs ◽  
Vehicle Classification ◽  
The Internet ◽  
Parking Space ◽  
Automated Systems ◽  
The Internet Of Things

Edge data processing represents the new evolution of the Internet and Cloud computing. Its application to the Internet of Things (IoT) is a step towards faster processing of information from sensors for better performance. In automated systems, we have a large number of sensors, whose information needs to be processed in the shortest possible time and acted upon. The paper describes the possibility of applying Artificial Intelligence on Edge devices using the example of finding a parking space for a vehicle, and directing it based on the segment the vehicle belongs to. Algorithm of Machine Learning is used for vehicle classification, which is based on vehicle dimensions.

scholarly journals Research on Indoor Positioning Algorithm of Single Reader Based on Gated Recurrent Unit

2021 ◽  
pp. 1-10
Author(s):  
Jintao Tang ◽  
Lvqing Yang ◽  
Jiangsheng Zhao ◽  
Yishu Qiu ◽  
Yihui Deng
Keyword(s):  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Indoor Positioning ◽  
The Internet ◽  
Positioning Accuracy ◽  
Frequency Identification ◽  
The Cost ◽  
Positioning Algorithm ◽  
Gated Recurrent Unit ◽  
The Internet Of Things

With the development of the Internet of Things and Radio Frequency Identification (RFID), indoor positioning technology as an important part of positioning technology, has been attracting much attention in recent years. In order to solve the problems of low precision, high cost and signal collision between readers, a new indoor positioning algorithm based on a single RFID reader combined with a Double-order Gated Recurrent Unit (GRU) are proposed in this paper. Firstly, the reader is moved along the specified direction to collect the sequential tag data. Then, the tag’s coordinate is taken as the target value to train models and compare them with existing algorithms. Finally, the best Gated Recurrent Unit positioning model is used to estimate the position of the tags. Experiment results show that the proposed algorithm can effectively improve positioning accuracy, reduce the number of readers, cut down the cost and eliminate the collisions of reader signals.

scholarly journals Modelling Uptake Sensitivities of Connected and Automated Vehicle Technologies

2021 ◽  
Vol 10 (2) ◽  
pp. 88-106
Author(s):  
Gillian Harrison ◽  
Simon P. Shepherd ◽  
Haibo Chen
Keyword(s):  
Internet Of Things ◽  
Dynamic Modelling ◽  
Transport Systems ◽  
The Internet ◽  
Sensitivity Testing ◽  
Automated Vehicle ◽  
Vehicle Technologies ◽  
The Internet Of Things

Connected and automated vehicle (CAV) technologies and services are rapidly developing and have the potential to revolutionise the transport systems. However, like many innovations, the uptake pathways are uncertain. The focus of this article is on improving understanding of factors that may affect the uptake of highly and fully automated vehicles, with a particular interest in the role of the internet of things (IoT). Using system dynamic modelling, sensitivity testing towards vehicle attributes (e.g., comfort, safety, familiarity) is carried out and scenarios were developed to explore how CAV uptake can vary under different conditions based around the quality of IoT provision. Utility and poor IoT are found to have the biggest influence. Attention is then given to CAV ‘services' that are characterized by the attributes explored earlier in the paper, and it is found that they could contribute to a 20% increase in market share.

scholarly journals Edge Computing for the Internet of Things: A Case Study

2018 ◽  
Vol 5 (2) ◽  
pp. 1275-1284 ◽  
Author(s):  
Gopika Premsankar ◽  
Mario Di Francesco ◽  
Tarik Taleb
Keyword(s):  
Internet Of Things ◽  
Edge Computing ◽  
The Internet ◽  
The Internet Of Things

Distributing Computing in the Internet of Things: Cloud, Fog and Edge Computing Overview

2017 ◽  
pp. 87-115 ◽  
Author(s):  
P. J. Escamilla-Ambrosio ◽  
A. Rodríguez-Mota ◽  
E. Aguirre-Anaya ◽  
R. Acosta-Bermejo ◽  
M. Salinas-Rosales
Keyword(s):  
Internet Of Things ◽  
Edge Computing ◽  
The Internet ◽  
The Internet Of Things

Internet of Things Applications

2016 ◽  
pp. 397-427 ◽  
Author(s):  
Mahmoud Elkhodr ◽  
Seyed Shahrestani ◽  
Hon Cheung
Keyword(s):  
Quality Of Life ◽  
Internet Of Things ◽  
Mobile Devices ◽  
Physical Space ◽  
The Internet ◽  
Everyday Objects ◽  
Iot Applications ◽  
The Impact ◽  
The Internet Of Things

The Internet of Things (IoT) brings connectivity to about every objects found in the physical space. It extends connectivity not only to computer and mobile devices but also to everyday objects. From connected fridges, cars and cities, the IoT creates opportunities in numerous domains. This chapter briefly surveys some IoT applications and the impact the IoT could have on societies. It shows how the various application of the IoT enhances the overall quality of life and reduces management and costs in various sectors.

FOWLP Technology eWLB – Enabler for Packaging of IoT/IoE Modules

2015 ◽  
Vol 2015 (1) ◽  
pp. 000239-000244 ◽  
Author(s):  
Steffen Kroehnert ◽  
José Campos ◽  
André Cardoso ◽  
Eoin O'Toole ◽  
Abel Janeiro ◽  
...  
Keyword(s):  
Internet Of Things ◽  
System Integration ◽  
Good News ◽  
The Internet ◽  
Smart System ◽  
Packaging Technology ◽  
Internet Of Everything ◽  
The Cost ◽  
Semiconductor Packaging ◽  
The Internet Of Things

The next big wave, the Internet of Things or Internet of Everything (IoT/IoE) is on the way. What does that mean for semiconductor packaging, assembly and test? What are the requirements? What solutions can be provided? The market will be wide and fragmented. Many different solutions will be needed. Flexibility and the capability to customize system solutions will be crucial. The fact is, it will be all about smart system integration, integration of sensors, MEMS, connectivity and memory: more functionality on less space in small and thin System-in-Package (SiP) and Package-on-Package (PoP). There will not be one specific packaging technology for IoT/IoE, and no new “IoT/IoE Packaging Technology”. The toolbox is here already, and further features required to meet the needs of future IoT/IoE modules are under development. That is actually good news, as the cost pressure will be high, and materialization of existing manufacturing environment, of mature and yielding packaging technologies will be a key for success.

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