A survey on blockchain-based platforms for IoT use-cases

2020 ◽  
Vol 35 ◽  
Author(s):  
Mohammad Jabed Morshed Chowdhury ◽  
Md Sadek Ferdous ◽  
Kamanashis Biswas ◽  
Niaz Chowdhury ◽  
Vallipuram Muthukkumarasamy
Keyword(s):  
Network Architecture ◽  
Smart Cities ◽  
Strong Support ◽  
Evaluation Framework ◽  
Use Cases ◽  
Innovative Technology ◽  
Collective Agreement ◽  
Clear Understanding ◽  
Full Potential ◽  
Iot Applications

Abstract The Internet of Things (IoT) has recently emerged as an innovative technology capable of empowering various areas such as healthcare, agriculture, smart cities, smart homes and supply chain with real-time and state-of-the-art sensing capabilities. Due to the underlying potential of this technology, it already saw exponential growth in a wide variety of use-cases in multiple application domains. As researchers around the globe continue to investigate its aptitudes, a collective agreement is that to get the best out of this technology and to harness its full potential, IoT needs to sit upon a flexible network architecture with strong support for security, privacy and trust. On the other hand, blockchain (BC) technology has recently come into prominence as a breakthrough technology with the potential to deliver some valuable properties such as resiliency, support for integrity, anonymity, decentralization and autonomous control. Several BC platforms are proposed that may be suitable for different use-cases, including IoT applications. In such, the possibility to integrate the IoT and BC technology is seen as a potential solution to address some crucial issues. However, to achieve this, there must be a clear understanding of the requirements of different IoT applications and the suitability of a BC platform for a particular application satisfying its underlying requirements. This paper aims to achieve this goal by describing an evaluation framework which can be utilized to select a suitable BC platform for a given IoT application.

KRiskSM: A Computerized Decision Aid for Client Acceptance and Continuance Risk Assessments

2002 ◽  
Vol 21 (2) ◽  
pp. 97-113 ◽  
Author(s):  
Timothy B. Bell ◽  
Jean C. Bedard ◽  
Karla M. Johnstone ◽  
Edward F. Smith
Keyword(s):  
Risk Management ◽  
Quality Control ◽  
Decision Aid ◽  
Audit Quality ◽  
Decision Aids ◽  
Risk Assessments ◽  
Innovative Technology ◽  
Full Potential ◽  
Business Risk ◽  
Client Acceptance

This paper describes the development and implementation of KRisk, an innovative technology-enabled auditor decision aid for making client acceptance and continuance risk assessments. KRisk, developed and designed by KPMG LLP, is part of the firm's audit quality control and risk management processes. In this paper, we discuss the environmental and technological forces that affect auditor business risk management. We also describe important aspects of the development, functionality, and implementation of KRisk. We discuss possible impediments to realizing the full potential of decision aids that have been reported in prior auditing research, and describe how KRisk and related audit quality control procedures implemented at KPMG were designed to overcome such impediments. Also, we present some ideas for scholarly research dealing with auditor business risk management issues, and issues related to the design and use of decision aids in general.

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 CAF and CAMM analyses on the first 10 years of national Kanta services in Finland

2020 ◽  
Vol 12 (4) ◽  
Author(s):  
Vesa Jormanainen ◽  
Jarmo Reponen
Keyword(s):  
Health Information ◽  
Large Scale ◽  
National Level ◽  
Health Information System ◽  
Strong Support ◽  
Evaluation Framework ◽  
Macro Level ◽  
State Budget ◽  
Study Results ◽  
Clinical Adoption

We report the large-scale deployment, implementation and adoption of the nationwide centralized integrated and shared Kanta health information services by using the Clinical Adoption Framework (CAF). The meso and macro level dimensions of the CAF were incorporated early into our e-health evaluation framework to assess Health Information System (HIS) implementation at the national level. We found strong support for the CAF macro level model concepts in Finland. Typically, development programs were followed by government policy commitments, appropriate legislation and state budget funding before the CAF meso level implementation activities. Our quantitative data point to the fact that implementing large-scale health information technology (HIT) systems in practice is a rather long process. For HIT systems success in particular citizens’ and professionals’ acceptance are essential. When implementation of the national health information systems was evaluated against Clinical Adoption Meta-Model (CAMM), the results show that Finland has already passed many milestones in CAMM archetypes. According to our study results, Finland seems to be a good laboratory entity to study practical execution of HIT systems, CAF and CAMM theoretical constructs can be used for national level HIS implementation evaluation.

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