scholarly journals Towards Context-Aware Smart Healthcare Platform

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Aldina Avdić ◽  
Ejub Kajan ◽  
Dragan Janković ◽  
Dženan Avdić
Keyword(s):  
Business Processes ◽  
Energy Savings ◽  
Smart Cities ◽  
Special Kind ◽  
Future Research ◽  
Context Aware ◽  
Transportation Energy ◽  
Smart Transportation ◽  
Proper Actions ◽  
Smart Healthcare

This paper deals with the context-aware smart healthcare platform, based on IoT and citizen sensing. The proposed platform provides support to smart cities' citizens in the form of air quality visualization in their surroundings and by appropriate notifications in case of dangerous pollutants level is sensed. It also provides medical assistance based on “help needed” function, and where available, on the medical record of a patient that uses the platform services. The platform is interactive, so the information sent by the users and the requests for help will be processed. Platform development is based on a special kind of social machine that is capable to capture the city’s sensors data, analyze these data and to interact with appropriate business processes. On return, that interaction results with several goals achieved with the project. Presented dashboard visualization allows decision makers, e.g. medical staff, to take proper actions on time and on-the-fly. On the other side, citizens that suffer from a variety of disease problems are able to report an air pollution incident, and ask for help, if they felt worse. The platform itself has a wider usability value and may be deployed to other smart services in a city, e.g. waste management, smart transportation, energy savings, etc. It is also scalable and open for a variety of sensor devices ranges from smartphones, wearables, and other IoT that resides in a smart city, and for different forms of crowdsensing methods. Finally, concluding remarks emphasize the future research directions.

scholarly journals A Survey of Context-Aware Messaging-Addressing for Sustainable Internet of Things (IoT)

2020 ◽  
Vol 12 (10) ◽  
pp. 4105
Author(s):  
Alaa Omran Almagrabi ◽  
Yasser D. Al-Otaibi
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Contextual Information ◽  
Spatial Models ◽  
Context Aware ◽  
Engineering Technology ◽  
Smart Transportation ◽  
Context Aware Computing ◽  
Iot Applications ◽  
Smart Healthcare

Nowadays, communication engineering technology is merging with the Internet of Things (IoT), which consists of numerous connected devices (referred to as things) around the world. Many researchers have shown significant growth of sensor deployments for multiple smart engineering technologies, such as smart-healthcare, smart-industries, smart-cities, and smart-transportation, etc. In such intelligent engineering technologies, sensors continuously generate a bunch of messages in the network. To enhance the value of the data in the messages, we must know the actuality of the data embedded inside the messages. For this purpose, the contextual information of the data creates a vital challenge. Recently, context-aware computing has emerged to be fruitful in dealing with sensor information. In the ubiquitous computing domain, location is commonly considered one of the most essential sources of context. However, whenever users or applications are concerned with objects, and their site or spatial relationships, location models or spatial models are necessary to form a model of the environment. This paper investigates the area of context-aware messaging and addressing services in diverse IoT applications. The paper examines the notion of context and the use of context within the data exchanged by the sensors in an IoT application for messaging and addressing purposes. Based on the importance and need for context of the information, we identify three critical categories of new IoT applications for context-aware messaging and addressing services: emergency applications, applications for guiding and reminding, and social networking applications. For this purpose, a representative range of systems is reviewed according to the application type, the technology being used, their architecture, the context information, and the services they provide. This survey assists the work of defining an approach for context-aware messaging services domain by discovering the area of context-aware messaging.

scholarly journals GNSS-Free Outdoor Localization Techniques for Resource-Constrained IoT Architectures: A Literature Review

2021 ◽  
Vol 11 (22) ◽  
pp. 10793
Author(s):  
Azin Moradbeikie ◽  
Ahmad Keshavarz ◽  
Habib Rostami ◽  
Sara Paiva ◽  
Sérgio Ivan Lopes
Keyword(s):  
Large Scale ◽  
Smart Cities ◽  
Low Cost ◽  
Security And Privacy ◽  
Smart Manufacturing ◽  
Localization Accuracy ◽  
Smart Transportation ◽  
Smart Healthcare ◽  
Definition Of ◽  
Outdoor Localization

Large-scale deployments of the Internet of Things (IoT) are adopted for performance improvement and cost reduction in several application domains. The four main IoT application domains covered throughout this article are smart cities, smart transportation, smart healthcare, and smart manufacturing. To increase IoT applicability, data generated by the IoT devices need to be time-stamped and spatially contextualized. LPWANs have become an attractive solution for outdoor localization and received significant attention from the research community due to low-power, low-cost, and long-range communication. In addition, its signals can be used for communication and localization simultaneously. There are different proposed localization methods to obtain the IoT relative location. Each category of these proposed methods has pros and cons that make them useful for specific IoT systems. Nevertheless, there are some limitations in proposed localization methods that need to be eliminated to meet the IoT ecosystem needs completely. This has motivated this work and provided the following contributions: (1) definition of the main requirements and limitations of outdoor localization techniques for the IoT ecosystem, (2) description of the most relevant GNSS-free outdoor localization methods with a focus on LPWAN technologies, (3) survey the most relevant methods used within the IoT ecosystem for improving GNSS-free localization accuracy, and (4) discussion covering the open challenges and future directions within the field. Some of the important open issues that have different requirements in different IoT systems include energy consumption, security and privacy, accuracy, and scalability. This paper provides an overview of research works that have been published between 2018 to July 2021 and made available through the Google Scholar database.

scholarly journals Enhancing the Reliability of Cellular Internet of Things through Agreement

2020 ◽  
Vol 10 (21) ◽  
pp. 7699
Author(s):  
Shin-Hung Pan ◽  
Shu-Ching Wang
Keyword(s):  
Internet Of Things ◽  
Large Scale ◽  
Fault Tolerant ◽  
Smart Cities ◽  
Smart Devices ◽  
The Internet ◽  
Smart Transportation ◽  
Fifth Generation ◽  
Smart Healthcare ◽  
Wide Range

Because the Internet of Things (IoT) can provide a global service network through various smart devices, the IoT has been widely used in smart transportation, smart cities, smart healthcare, and factory automation through the Internet connection. With the large-scale establishment and 5G (fifth generation) wireless networks, the cellular Internet of Things (CIoT) will continue to be developed and applied to a wide range of applications. In order to provide a reliable application of CIoT, a safe and reliable network topology MECIoT is proposed in this study. To improve the reliability and fault-tolerant capability of the network proposed, the problem of reaching agreement should be revisited. Therefore, the applications in the system can still be performed correctly even if some processing units (PUs) in the system have failed. In this study, a new protocol is proposed to allow all normal PUs in MECIoT to reach an agreement with the minimum amount of data exchanges required and the maximum number of failed PUs allowed in MECIoT. In the end, the optimality of the protocol has been proven by mathematical method.

scholarly journals A Review of Blockchain Architecture and Consensus Protocols: Use Cases, Challenges, and Solutions

2019 ◽  
Author(s):  
Leila Ismail ◽  
Huned Materwala
Keyword(s):  
Smart Cities ◽  
Distributed Databases ◽  
Distributed Applications ◽  
Future Research ◽  
Research Directions ◽  
Blockchain Technology ◽  
Digital Ecosystem ◽  
Smart Healthcare ◽  
Future Research Directions

ver the last decade the blockchain technology has emerged to provide solutions to the complexity, performance and privacy challenges of using distributed databases. Over this time, the concept of blockchain has shifted greatly due to the rapidly evolving distributed applications in a collaborative ecosystem such as smart cities, social networking, governance, and smart healthcare, and the ultimate need for green computing, cost reduction for customers, and business growth for enterprises. Consequently, blockchain architecture has misaligned with the goals for a green collaborative digital ecosystem. Therefore, it becomes critical to address this vent and to build new frameworks to align blockchain with those goals. In this paper, we discuss the evolution of blockchain architecture and its consensus protocols, bringing a retrospective analysis and discussing the rationale of the evolution of the various architectures and protocols, as well as capturing the assumptions conducting to their development and contributions to building collaborative applications. We introduce a classification of those architectures and provide insights for future research directions in the field.

scholarly journals Mobile Applications in China's Smart Cities

2021 ◽  
Vol 29 (6) ◽  
pp. 1-18
Author(s):  
Bingqian Zhang ◽  
Guochao Peng ◽  
Fei Xing ◽  
Si Chen
Keyword(s):  
Mobile Applications ◽  
Smart City ◽  
Interface Design ◽  
Smart Cities ◽  
Local Authorities ◽  
Daily Lives ◽  
Smart Transportation ◽  
Smart Healthcare ◽  
Global Trend ◽  
Functional Interface

Aligned with the global trend of smartness, China has invested heavily in over 700 smart city projects across over 500 cities. Hundreds of smart city apps, initiated by local authorities, have so emerged in the daily lives of Chinese citizens, but anecdotal evidence showed that these official apps have many problems and deficiencies. This study captures a snapshot of current development and problems of official smart city apps in China. A total of 333 such apps, together with 15754 comments, were collected, reviewed and analyzed. The results showed that China’s smart city apps fall into three application areas, i.e. smart transportation, smart healthcare, and smart livelihood, of which each provides some promising features and services. However, a range of functional, interface, design, usage and service-related problems were found in these apps. This paper concluded that further to the very efforts on infrastructure and hardware, local authorities in China and worldwide need to pay more attention to smart apps, in order to maximize potential return of their smart city investments.

scholarly journals Sensors for Context-Aware Smart Healthcare: A Security Perspective

Sensors ◽  
2021 ◽  
Vol 21 (20) ◽  
pp. 6886
Author(s):  
Edgar Batista ◽  
M. Angels Moncusi ◽  
Pablo López-Aguilar ◽  
Antoni Martínez-Ballesté ◽  
Agusti Solanas
Keyword(s):  
Communication Networks ◽  
Smart Cities ◽  
Waiting Times ◽  
Added Value ◽  
Security And Privacy ◽  
Context Aware ◽  
Comprehensive Overview ◽  
Smart Healthcare ◽  
Smart Health ◽  
Real Time Information

The advances in the miniaturisation of electronic devices and the deployment of cheaper and faster data networks have propelled environments augmented with contextual and real-time information, such as smart homes and smart cities. These context-aware environments have opened the door to numerous opportunities for providing added-value, accurate and personalised services to citizens. In particular, smart healthcare, regarded as the natural evolution of electronic health and mobile health, contributes to enhance medical services and people’s welfare, while shortening waiting times and decreasing healthcare expenditure. However, the large number, variety and complexity of devices and systems involved in smart health systems involve a number of challenging considerations to be considered, particularly from security and privacy perspectives. To this aim, this article provides a thorough technical review on the deployment of secure smart health services, ranging from the very collection of sensors data (either related to the medical conditions of individuals or to their immediate context), the transmission of these data through wireless communication networks, to the final storage and analysis of such information in the appropriate health information systems. As a result, we provide practitioners with a comprehensive overview of the existing vulnerabilities and solutions in the technical side of smart healthcare.

scholarly journals Smart City in Practice: Learn from Taipei City

2021 ◽  
Vol 8 (1) ◽  
pp. 50-59
Author(s):  
Muhammad Iqbal
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
Successful Implementation ◽  
Smart Transportation ◽  
Smart Building ◽  
Smart Healthcare ◽  
Taipei City ◽  
Smart Education ◽  
Smart Mobility ◽  
Smart Governance

The main aspects of building a smart city according to Frost and Sullivan in 2014 are smart governance, smart technology, smart infrastructure, smart healthcare, smart mobility, smart building, smart energy and smart citizens. The smart city's purpose is to form a comfortable, safe city and strengthen its competitiveness. Based on these indicators, Taipei City can become one of the cities with the best Smart City implementation globally. This article uses a qualitative approach with literature review techniques in data collection. This study's findings indicate that the Smart Education, Smart Transportation, Smart Social Housing and Smart Healthcare policies are essential policies in supporting the successful implementation of smart cities in Taipei City. The four main pillars in implementing smart city in Taipei City have integrated Artificial intelligence and big data in smart city governance in Taipei City.

scholarly journals Mobile Applications in China’s Smart Cities

2021 ◽  
Vol 29 (6) ◽  
pp. 0-0
Keyword(s):  
Mobile Applications ◽  
Smart City ◽  
Interface Design ◽  
Smart Cities ◽  
Local Authorities ◽  
Daily Lives ◽  
Smart Transportation ◽  
Smart Healthcare ◽  
Global Trend ◽  
Functional Interface

Aligned with the global trend of smartness, China has invested heavily in over 700 smart city projects across over 500 cities. Hundreds of smart city apps, initiated by local authorities, have so emerged in the daily lives of Chinese citizens, but anecdotal evidence showed that these official apps have many problems and deficiencies. This study captures a snapshot of current development and problems of official smart city apps in China. A total of 333 such apps, together with 15754 comments, were collected, reviewed and analyzed. The results showed that China’s smart city apps fall into three application areas, i.e. smart transportation, smart healthcare, and smart livelihood, of which each provides some promising features and services. However, a range of functional, interface, design, usage and service-related problems were found in these apps. This paper concluded that further to the very efforts on infrastructure and hardware, local authorities in China and worldwide need to pay more attention to smart apps, in order to maximize potential return of their smart city investments.

scholarly journals An Effective Multifactor Authentication Mechanism Based on Combiners of Hash Function over Internet of Things

Sensors ◽  
2019 ◽  
Vol 19 (17) ◽  
pp. 3663 ◽  
Author(s):  
Adel Ali Ahmed ◽  
Waleed Ali Ahmed
Keyword(s):  
Smart Cities ◽  
Computation Time ◽  
Authentication Code ◽  
Security Vulnerabilities ◽  
Smart Transportation ◽  
Authentication Mechanism ◽  
Smart Healthcare ◽  
Multifactor Authentication ◽  
Iot Devices ◽  
The One

Internet of Thing (IoT) is the most emerging technology in which all the objects in the real world can use the Internet to communicate with each other as parts of a single unified system. This eventually leads to the development of many smart applications such as smart cities, smart homes, smart healthcare, smart transportation, etc. Due to the fact that the IoT devices have limited resources, the cybersecurity approaches that relied on complex and long processing cryptography are not a good fit for these constrained devices. Moreover, the current IoT systems experience critical security vulnerabilities that include identifying which devices were affected, what data or services were accessed or compromised, and which users were impacted. The cybersecurity challenge in IoT systems is to find a solution for handling the identity of the user, things/objects and devices in a secure manner. This paper proposes an effective multifactor authentication (CMA) solution based on robust combiners of the hash functions implemented in the IoT devices. The proposed CMA solution mitigates the authentication vulnerabilities of IoT and defends against several types of attacks. Also, it achieves multi-property robustness and preserves the collision-resistance, the pseudo-randomness, the message authentication code, and the one-wayness. It also ensures the integrity, authenticity and availability of sensed data for the legitimate IoT devices. The simulation results show that CMA outperforms the TOTP in term of the authentication failure rate. Moreover, the evaluation of CMA shows an acceptable QoS measurement in terms of computation time overhead, throughput, and packet loss ratio.

scholarly journals IoT for Smart Cities: Machine Learning Approaches in Smart Healthcare—A Review

2021 ◽  
Vol 13 (8) ◽  
pp. 218
Author(s):  
Taher M. Ghazal ◽  
Mohammad Kamrul Hasan ◽  
Muhammad Turki Alshurideh ◽  
Haitham M. Alzoubi ◽  
Munir Ahmad ◽  
...  
Keyword(s):  
Machine Learning ◽  
Sensor Networks ◽  
Smart City ◽  
Urban Areas ◽  
Smart Cities ◽  
Healthcare Sector ◽  
Future Research ◽  
Successful Implementation ◽  
Learning Approaches ◽  
Smart Healthcare

Smart city is a collective term for technologies and concepts that are directed toward making cities efficient, technologically more advanced, greener and more socially inclusive. These concepts include technical, economic and social innovations. This term has been tossed around by various actors in politics, business, administration and urban planning since the 2000s to establish tech-based changes and innovations in urban areas. The idea of the smart city is used in conjunction with the utilization of digital technologies and at the same time represents a reaction to the economic, social and political challenges that post-industrial societies are confronted with at the start of the new millennium. The key focus is on dealing with challenges faced by urban society, such as environmental pollution, demographic change, population growth, healthcare, the financial crisis or scarcity of resources. In a broader sense, the term also includes non-technical innovations that make urban life more sustainable. So far, the idea of using IoT-based sensor networks for healthcare applications is a promising one with the potential of minimizing inefficiencies in the existing infrastructure. A machine learning approach is key to successful implementation of the IoT-powered wireless sensor networks for this purpose since there is large amount of data to be handled intelligently. Throughout this paper, it will be discussed in detail how AI-powered IoT and WSNs are applied in the healthcare sector. This research will be a baseline study for understanding the role of the IoT in smart cities, in particular in the healthcare sector, for future research works.

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