scholarly journals Hybrid Clouds for Data-Intensive, 5G-Enabled IoT Applications: An Overview, Key Issues and Relevant Architecture

Sensors ◽  
2019 ◽  
Vol 19 (16) ◽  
pp. 3591 ◽  
Author(s):  
Panagiotis Trakadas ◽  
Nikolaos Nomikos ◽  
Emmanouel T. Michailidis ◽  
Theodore Zahariadis ◽  
Federico M. Facca ◽  
...  
Keyword(s):  
Smart Cities ◽  
Building Blocks ◽  
Hybrid Cloud ◽  
Broad Perspective ◽  
Platform As A Service ◽  
Hybrid Clouds ◽  
Iot Applications ◽  
Research Areas ◽  
Key Issues ◽  
Multi Access

Hybrid cloud multi-access edge computing (MEC) deployments have been proposed as efficient means to support Internet of Things (IoT) applications, relying on a plethora of nodes and data. In this paper, an overview on the area of hybrid clouds considering relevant research areas is given, providing technologies and mechanisms for the formation of such MEC deployments, as well as emphasizing several key issues that should be tackled by novel approaches, especially under the 5G paradigm. Furthermore, a decentralized hybrid cloud MEC architecture, resulting in a Platform-as-a-Service (PaaS) is proposed and its main building blocks and layers are thoroughly described. Aiming to offer a broad perspective on the business potential of such a platform, the stakeholder ecosystem is also analyzed. Finally, two use cases in the context of smart cities and mobile health are presented, aimed at showing how the proposed PaaS enables the development of respective IoT applications.

scholarly journals Internet of Things Applications as Energy Internet in Smart Grids and Smart Environments

Electronics ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 972 ◽  
Author(s):  
Yasin Kabalci ◽  
Ersan Kabalci ◽  
Sanjeevikumar Padmanaban ◽  
Jens Bo Holm-Nielsen ◽  
Frede Blaabjerg
Keyword(s):  
Internet Of Things ◽  
Smart Grids ◽  
Smart Cities ◽  
Future Research ◽  
Smart Environments ◽  
Important Research ◽  
Energy Internet ◽  
Iot Applications ◽  
Research Areas ◽  
Open Issues

Energy Internet (EI) has been recently introduced as a new concept, which aims to evolve smart grids by integrating several energy forms into an extremely flexible and effective grid. In this paper, we have comprehensively analyzed Internet of Things (IoT) applications enabled for smart grids and smart environments, such as smart cities, smart homes, smart metering, and energy management infrastructures to investigate the development of the EI based IoT applications. These applications are promising key areas of the EI concept, since the IoT is considered one of the most important driving factors of the EI. Moreover, we discussed the challenges, open issues, and future research opportunities for the EI concept based on IoT applications and addressed some important research areas.

scholarly journals Virtualizing AI at the Distributed Edge Towards Intelligent IoT Applications

2021 ◽  
Vol 10 (1) ◽  
pp. 13
Author(s):  
Claudia Campolo ◽  
Giacomo Genovese ◽  
Antonio Iera ◽  
Antonella Molinaro
Keyword(s):  
Resource Constraints ◽  
Smart Cities ◽  
Traditional Approach ◽  
Low Cost ◽  
Iot Applications ◽  
Software And Hardware ◽  
Iot Devices ◽  
Consumer Devices ◽  
Hardware Platforms ◽  
Smart Factories

Several Internet of Things (IoT) applications are booming which rely on advanced artificial intelligence (AI) and, in particular, machine learning (ML) algorithms to assist the users and make decisions on their behalf in a large variety of contexts, such as smart homes, smart cities, smart factories. Although the traditional approach is to deploy such compute-intensive algorithms into the centralized cloud, the recent proliferation of low-cost, AI-powered microcontrollers and consumer devices paves the way for having the intelligence pervasively spread along the cloud-to-things continuum. The take off of such a promising vision may be hurdled by the resource constraints of IoT devices and by the heterogeneity of (mostly proprietary) AI-embedded software and hardware platforms. In this paper, we propose a solution for the AI distributed deployment at the deep edge, which lays its foundation in the IoT virtualization concept. We design a virtualization layer hosted at the network edge that is in charge of the semantic description of AI-embedded IoT devices, and, hence, it can expose as well as augment their cognitive capabilities in order to feed intelligent IoT applications. The proposal has been mainly devised with the twofold aim of (i) relieving the pressure on constrained devices that are solicited by multiple parties interested in accessing their generated data and inference, and (ii) and targeting interoperability among AI-powered platforms. A Proof-of-Concept (PoC) is provided to showcase the viability and advantages of the proposed solution.

scholarly journals Implementation analysis of IoT-based offloading frameworks on cloud/edge computing for sensor generated big data

2021 ◽  
Author(s):  
Karan Bajaj ◽  
Bhisham Sharma ◽  
Raman Singh
Keyword(s):  
High Speed ◽  
Smart Cities ◽  
Fog Computing ◽  
Edge Computing ◽  
Computation Offloading ◽  
Performance Parameters ◽  
Iot Applications ◽  
Time Sensitivity ◽  
Implementation Analysis ◽  
Increasing Demand

AbstractThe Internet of Things (IoT) applications and services are increasingly becoming a part of daily life; from smart homes to smart cities, industry, agriculture, it is penetrating practically in every domain. Data collected over the IoT applications, mostly through the sensors connected over the devices, and with the increasing demand, it is not possible to process all the data on the devices itself. The data collected by the device sensors are in vast amount and require high-speed computation and processing, which demand advanced resources. Various applications and services that are crucial require meeting multiple performance parameters like time-sensitivity and energy efficiency, computation offloading framework comes into play to meet these performance parameters and extreme computation requirements. Computation or data offloading tasks to nearby devices or the fog or cloud structure can aid in achieving the resource requirements of IoT applications. In this paper, the role of context or situation to perform the offloading is studied and drawn to a conclusion, that to meet the performance requirements of IoT enabled services, context-based offloading can play a crucial role. Some of the existing frameworks EMCO, MobiCOP-IoT, Autonomic Management Framework, CSOS, Fog Computing Framework, based on their novelty and optimum performance are taken for implementation analysis and compared with the MAUI, AnyRun Computing (ARC), AutoScaler, Edge computing and Context-Sensitive Model for Offloading System (CoSMOS) frameworks. Based on the study of drawn results and limitations of the existing frameworks, future directions under offloading scenarios are discussed.

Design and Analysis of a RFID Reader Microstrip Array antenna for IoT Applications in Smart Cities

2022 ◽  
Vol 17 (5) ◽  
pp. 0-0
Keyword(s):  
Smart Cities ◽  
Array Antenna ◽  
The Internet ◽  
Substrate Thickness ◽  
Iot Applications ◽  
Rfid Reader ◽  
Array Antennas ◽  
Microstrip Array ◽  
The Internet Of Things ◽  
Microstrip Array Antenna

This paper presents the design of 2*1 and 4*1 RFID reader microstrip array antenna at 2.4GHz for the Internet of things (IoT) networks which are Zigbee, Bluetooth and WIFI. The proposed antenna is composed of identical circular shapes radiating patches printed in FR4 substrate. The dielectric constant εr and substrate thickness h are 4.4 and 1.6mm, respectively. The 2*1 and 4*1 array antennas present a gain improvement of 27.3% and 61.9%, respectively. The single,2*1 and 4*1 array antennas were performed with CADFEKO.

scholarly journals Recent Progress in the Energy Harvesting Technology—From Self-Powered Sensors to Self-Sustained IoT, and New Applications

Nanomaterials ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 2975
Author(s):  
Long Liu ◽  
Xinge Guo ◽  
Weixin Liu ◽  
Chengkuo Lee
Keyword(s):  
Energy Harvesting ◽  
Gas Sensing ◽  
Smart Cities ◽  
Scale Up ◽  
Smart Homes ◽  
Energy Harvesters ◽  
Iot Applications ◽  
Fast Development ◽  
Self Powered ◽  
New Applications

With the fast development of energy harvesting technology, micro-nano or scale-up energy harvesters have been proposed to allow sensors or internet of things (IoT) applications with self-powered or self-sustained capabilities. Facilitation within smart homes, manipulators in industries and monitoring systems in natural settings are all moving toward intellectually adaptable and energy-saving advances by converting distributed energies across diverse situations. The updated developments of major applications powered by improved energy harvesters are highlighted in this review. To begin, we study the evolution of energy harvesting technologies from fundamentals to various materials. Secondly, self-powered sensors and self-sustained IoT applications are discussed regarding current strategies for energy harvesting and sensing. Third, subdivided classifications investigate typical and new applications for smart homes, gas sensing, human monitoring, robotics, transportation, blue energy, aircraft, and aerospace. Lastly, the prospects of smart cities in the 5G era are discussed and summarized, along with research and application directions that have emerged.

scholarly journals A Long-range Context-aware Platform Design For Rural Monitoring With IoT In Precision Agriculture

2020 ◽  
Vol 15 (2) ◽  
Author(s):  
Deniz TAŞKIN ◽  
Selçuk YAZAR
Keyword(s):  
Long Range ◽  
Precision Agriculture ◽  
Rural Areas ◽  
Smart Cities ◽  
Soil Surface ◽  
Area Network ◽  
Context Aware ◽  
Wide Area Network ◽  
Performance Measurements ◽  
Iot Applications

The Internet of Things (IoT) applications has been developing greatly in recent years to solve communication problems, especially in rural areas. Within the IoT, the context-awareness paradigm, especially in precision agricultural practices, has come to a state of the planning of production time. As smart cities approach, the smart environment approach also increases its place in IoT applications and has dominated research in recent years in literature. In this study, soil and environmental information were collected in 17 km diameter in rural area with developed Long Range (LoRa) based context-aware platform. With the developed sensor and actuator control unit, soil moisture at 5 cm and 30 cm depth and soil surface temperature information were collected and the communication performance was investigated. During the study, the performance measurements of the developed Serial Peripheral Interface (SPI) enabled Long Range Wide Area Network (LoRaWAN) gateway were also performed.

scholarly journals Evaluation of business models of urban IoT-applications for a medium sized city

2020 ◽  
Vol 338 ◽  
pp. 393-403
Author(s):  
Ferdinand Fischer ◽  
Birgit Schenk
Keyword(s):  
Best Practices ◽  
Business Models ◽  
Smart Cities ◽  
Research Question ◽  
The Public ◽  
Iot Applications ◽  
Evaluation Scheme ◽  
Number Of Factors ◽  
German City ◽  
The Internet Of Things

Digitalization of the public sector is being driven by a number of factors. In particular, the concept of "Smart Cities" has become an important driver of this development. This relies heavily on an intelligent infrastructure including the Internet of Things (IoT). But does it make sense for small and medium-sized municipalities to develop this? Is it justified to invest in IoT? (How) can a mediumsized city benefit from it? This paper presents the application of an evaluation scheme for business models of urban IoT applications to answer these questions. The research question focuses on how best practices of urban IoT applications in general and in particular can be evaluated. In order to establish a concrete practical reference we evaluated ten chosen IoT applications for the German city of Herrenberg.

scholarly journals Digital Transformation using Iot in Smart Environment Applications

2020 ◽  
Vol 9 (7) ◽  
pp. 47-50
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Smart Cities ◽  
Smart Services ◽  
Research Areas ◽  
Searching Strategy ◽  
Review Protocol ◽  
Traffic Control System ◽  
Research Questions

With increasing usage of technologies and smart solutions smart cities are developed and enabled with many smart services. This paper has conducted a systematic literature review to find out IOT applications and its role in Traffic Control System. The review protocol is formulated to define some of the research questions, searching strategy, selection criteria of papers and how data is extracted. This paper contributed towards one main issue: The various research areas of Internet of Things and Role of IOT in the Traffic Control Services? All the papers were categorized by the application services of IOT and Traffic Control services they discussed. All the recent work were categorised under the application in various area like traffic and transport; Agriculture; Security; Healthcare; energy management; city infrastructure; and modes of transport. This paper reviews the various methods of traffic control system in different perspective of different IOT application areas.

AWE-Inspiring Electrically Small Antennas

2022 ◽  
Vol 1 ◽  
pp. 1-27
Author(s):  
Richard W. Ziolkowski ◽  
Keyword(s):  
Internet Of Things ◽  
Near Field ◽  
Performance Characteristics ◽  
Electrically Small Antennas ◽  
Active Systems ◽  
Small Antennas ◽  
Iot Applications ◽  
Research Areas ◽  
The Future ◽  
Forward Looking

Anytime-wireless-everywhere (AWE) aspirations for Internet-of-Things (IoT) applications to be enabled through current 5G and evolving 6G and beyond ecosystems necessitate the development of innovative electrically small antennas (ESAs). While a variety of ESA systems are reviewed, those realized from the near-field resonant parasitic (NFRP) antenna paradigm are emphasized. Efficiency, bandwidth and directivity issues are highlighted. Multifunctional, reconfigurable, passive and active systems that have been achieved are discussed and illustrated; their performance characteristics and advantages described. This overview finalizes by going back to the future and considers enterprising research areas of current and forward-looking interest.

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