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

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.

2020 ◽  
Vol 60 (11) ◽  
pp. 16-20
Author(s):  
Vugar Hajimahmud Abdullayev ◽  
◽  
Vusala Alyag Abuzarova ◽  

The article is devoted to the study of cyber security problems in the Smart Cities system. The development of the IT industry has led to the introduction of new technologies into our lives. One of these technologies is the Internet of Things technology. The application of IoT technology has increased in recent years. One of the most important areas in which Internet of Things technology is applied is the Smart Cities system. The main difference between smart cities and other cities is that their components are connected to each other via the Internet. All these smart devices create a smart city system in general. One of the biggest and most important problems in many areas where the Internet is used is security. The article looks at possible security problems in the system of smart cities and solutions to ensure cyber security. Key words: Smart city; Internet of Things; Information technologies; Security; Cyber security


2020 ◽  
Vol 12 (10) ◽  
pp. 4105
Author(s):  
Alaa Omran Almagrabi ◽  
Yasser D. Al-Otaibi

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.


2021 ◽  
Vol 11 (22) ◽  
pp. 10793
Author(s):  
Azin Moradbeikie ◽  
Ahmad Keshavarz ◽  
Habib Rostami ◽  
Sara Paiva ◽  
Sérgio Ivan Lopes

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.


Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2466 ◽  
Author(s):  
Maryam Naseer Malik ◽  
Muhammad Awais Azam ◽  
Muhammad Ehatisham-Ul-Haq ◽  
Waleed Ejaz ◽  
Asra Khalid

The Internet of Things is a rapidly growing paradigm for smart cities that provides a way of communication, identification, and sensing capabilities among physically distributed devices. With the evolution of the Internet of Things (IoTs), user dependence on smart systems and services, such as smart appliances, smartphone, security, and healthcare applications, has been increased. This demands secure authentication mechanisms to preserve the users’ privacy when interacting with smart devices. This paper proposes a heterogeneous framework “ADLAuth” for passive and implicit authentication of the user using either a smartphone’s built-in sensor or wearable sensors by analyzing the physical activity patterns of the users. Multiclass machine learning algorithms are applied to users’ identity verification. Analyses are performed on three different datasets of heterogeneous sensors for a diverse number of activities. A series of experiments have been performed to test the effectiveness of the proposed framework. The results demonstrate the better performance of the proposed scheme compared to existing work for user authentication.


2019 ◽  
Vol 16 (10) ◽  
pp. 4345-4349
Author(s):  
Latika Kakkar ◽  
Deepali Gupta ◽  
Sapna Saxena ◽  
Sarvesh Tanwar

The Internet of Things (IoT) comprises of various smart devices which are networked together to detect, accumulate, process, improve and interchange significant data over the Internet. IoT has improved our lifestyle by offering various applications such as intelligent home, smart healthcare, traffic monitoring and smart city devices. The IoT devices have restriction of power, battery life, memory and network constraints, so cloud can be used for accumulating and analyzing the IoT data. Due to the considerable increase in data transfer over Internet and other devices, the confidential information from the IoT sources required to be secure from any third party access. Cloud computing (CC) on the other side provides a protected, abrupt and advantageous data storage and computing services all over the internet. The integration of both these technologies can prove to be beneficial for each other. Therefore, we need an efficient and authentic method for secure communication in the IoT and cloud based big data environment. This paper provides a review of amalgamation of the IoT and cloud by featuring the implementation challenges and integration benefits.


Informatics ◽  
2019 ◽  
Vol 6 (1) ◽  
pp. 8 ◽  
Author(s):  
Christopher McDermott ◽  
John Isaacs ◽  
Andrei Petrovski

The growth of the Internet of Things (IoT), and demand for low-cost, easy-to-deploy devices, has led to the production of swathes of insecure Internet-connected devices. Many can be exploited and leveraged to perform large-scale attacks on the Internet, such as those seen by the Mirai botnet. This paper presents a cross-sectional study of how users value and perceive security and privacy in smart devices found within the IoT. It analyzes user requirements from IoT devices, and the importance placed upon security and privacy. An experimental setup was used to assess user ability to detect threats, in the context of technical knowledge and experience. It clearly demonstrated that without any clear signs when an IoT device was infected, it was very difficult for consumers to detect and be situationally aware of threats exploiting home networks. It also demonstrated that without adequate presentation of data to users, there is no clear correlation between level of technical knowledge and ability to detect infected devices.


Author(s):  
Aleksandar Tošić ◽  
Jernej Vičič ◽  
Michael David Burnard ◽  
Michael Mrissa

The Internet of Things (IoT) is experiencing widespread adoption across industry sectors ranging from supply chain management to smart cities, buildings, and health monitoring. However, most software architectures for IoT deployment rely on centralized cloud computing infrastructures to provide storage and computing power, as cloud providers have high economic incentives to organize their infrastructure into clusters. Despite these incentives, there has been a recent shift from centralized to decentralized architecture that harnesses the potential of edge devices, reduces network latency, and lowers infrastructure cost to support IoT applications. This shift has resulted in new edge computing architectures, but many still rely on centralized solutions for managing applications. A truly decentralized approach would offer interesting properties required for IoT use cases. To address these concerns, we introduce a decentralized architecture tailored for large scale deployments of peer-to-peer IoT sensor networks and capable of run-time application migration. The solution combines a blockchain consensus algorithm and verifiable random functions to ensure scalability, fault tolerance, transparency, and no single point of failure. We build on our previously presented theoretical simulations with many protocol improvements and an implementation tested in a use case related to monitoring a Slovenian cultural heritage building located in Bled, Slovenia.


Information ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 87
Author(s):  
Marco Lombardi ◽  
Francesco Pascale ◽  
Domenico Santaniello

In recent years, the growing number of devices connected to the internet has increased significantly. These devices can interact with the external environment and with human beings through a wide range of sensors that, perceiving reality through the digitization of some parameters of interest, can provide an enormous amount of data. All this data is then shared on the network with other devices and with different applications and infrastructures. This dynamic and ever-changing world underlies the Internet of Things (IoT) paradigm. To date, countless applications based on IoT have been developed; think of Smart Cities, smart roads, and smart industries. This article analyzes the current architectures, technologies, protocols, and applications that characterize the paradigm.


Author(s):  
R. Senthil Prabhu ◽  
D. Sabitha Ananthi ◽  
S. Rajasoundarya ◽  
R. Janakan ◽  
R. Priyanka

Technologies that could allow literally billions of everyday objects to communicate with each other over the internet have enormous potential to change all our lives. The Internet of Things (IoT) is a transformative development, these technologies are a way of boosting productivity, keeping us healthier, making transport more efficient, reducing energy needs and making our homes more comfortable. In recent years, Internet of Things (IoT) and Internet of Nanothings (IoNT) have drawn significant research attention in numerous fields such as Healthcare, Defence, Environmental monitoring, Food and water quality control etc., There are various transformations such as Smart cities, Smart homes, Smart factories, Smart transportation, due to IoT and IoNT. Health care delivery requires the support of new technologies like IoT, IoNT to fight and look against the new pandemic diseases. For the past two years COVID-19 spreaded over worldwide including India, are fighting with pandemic disease and still looking for a practical and cost-effective solution to face the problems arising in several ways. To minimize the person to person, contact and to maintain social distancing various technologies are utilized, among them IoT and IoNT play a major role in healthcare system and allied fields. This review mainly discuss about the IoT, IoNT, its components and various applications in healthcare and allied fields.


2021 ◽  
Vol 13 (30) ◽  
pp. 53-63
Author(s):  
Margarita Gocheva ◽  
◽  
Velika Kuneva ◽  
Georgi Gochev ◽  
◽  
...  

The Internet of Things (IoT) has become increasingly popular in the recent decade. The Internet of Things helps people live and work smarter, as well as gain complete control over their lives. The concept of the IoT went widely into practice in different fields – Infrastructure, Production, Healthcare, Banks, Smart cities, Insurance, Media, Retail, Connected homes / Smart buildings, Agriculture, and many more. Modern agriculture can show its potential and importance by using these innovative technologies. The measuring devices, ensuring the transformation of data for the external environment into machine-readable data, at the same time filling the computing environment with significant information are very important. A wide range of measuring devices is used, from elementary sensors (e.g. temperature, pressure, illumination), consumption meters (e.g. smart meters) to complex integrated measuring systems. Satellites, drones, wireless sensor networks, analytical farming devices systems, farm management systems, big data applied to the farm are very useful and applicable in smart farming. The Internet of Things is a huge opportunity for farmers to monitor their crops and increase productivity, to monitor their livestock, to manage all the processes in their work and to take decisions at the right time. The article analyzes issues related to the modern IoT methods and their usage in general and in the area of agriculture. The main goal is to analyze the current state of IoT and its potential in areas of rural development and agriculture in the Republic of Bulgaria.


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