A Survey on the Concepts, Trends, Enabling Technologies, Architectures, Challenges and Open Issues in Cognitive IoT Based Smart Environments

2018 ◽  
pp. 512-522 ◽  
Author(s):  
Mehamed Ahmed Abdurahman
Keyword(s):  
Internet Of Things ◽  
Industrial Applications ◽  
Robust Solution ◽  
Industrial Systems ◽  
Knowledge Accumulation ◽  
Service Offering ◽  
Smart Industry ◽  
Ubiquitous Network ◽  
Cognitive Internet Of Things ◽  
Open Issues

In many industrial applications, novel paradigms based on IoT services are evolving. However, today’s industrial systems are facing various challenges, due to heterogeneous, mixed and uncertain ubiquitous network, the application prospect of which is extensive in the field of modern intelligent service, and discrepancies between service offering and application requirement. In line to this, the researchers believed that existing technologies and approach specifically, IoT, lack enough cognitive based intelligence and cannot achieve the expected enhancements and smart industry developments. Therefore, the researchers argue that, with ambition to optimize the resource and infrastructures invested for smart industries, the Cognitive Internet of Things (CIoT) and its corresponding i the cognitive approaches, provide flexible and robust solution for such systems, enabling new level of adaptability and re-configurability in the system by self-X capabilities. In Light of this, the main objective of this paper, is to survey on concepts of Internet of Things based environments, and reviews the technologies, architectures/platforms, and trends in industries systems being cognitive and or smart. Afterward, we analyzed the research challenges and open issues and facilitate knowledge accumulation in efficiently in this field of Internet of Things (IoT) associated with industrial systems.

scholarly journals Industrial Automation Techniques based Internet of Things

2019 ◽  
Vol 8 (12S) ◽  
pp. 943-945
Keyword(s):  
Internet Of Things ◽  
Electronic Devices ◽  
Industrial Applications ◽  
Wireless Devices ◽  
Industrial Automation ◽  
Industrial Systems ◽  
Embedded Platform ◽  
Android Applications ◽  
Automation Techniques

Internet of Things (IoT) is the system of electronic devices implemented in the embedded platform that enables the program, sensors, and connection of networks for the collection and exchange of data and those led to the popularity of IoT. Here, we are building a network which monitors the industrial applications automatically and produce Alerts/Alarms and helps in making intelligent decisions with the help of IoT. Internet of things helps in developing effective industrial systems by making use of wireless devices,Android applications and sensors.

scholarly journals The Application of Cognitive IoT for Smart Manufacturing

2020 ◽  
Vol 9 (3) ◽  
pp. 788-792
Keyword(s):  
Paradigm Shift ◽  
Manufacturing Systems ◽  
Smart Manufacturing ◽  
Major Goal ◽  
Knowledge Accumulation ◽  
Learning Techniques ◽  
Manufacturing Sectors ◽  
Smart Manufacturing Systems ◽  
Cognitive Internet Of Things ◽  
Open Issues

In recent times, novel paradigms based on cognitive manufacturing services are evolving. This paradigm shift is conveyed by integrating manufacturing assets with the latest and enhanced methods and technologies. However, today’s manufacturing systems are facing various challenges, that is the researcher believed that existing technologies and tools specifically, IoT, existing learning techniques and learning systems, lack enough cognitive based intelligence and cannot achieve the expected enhancements and smart manufacturing developments. In Light of this assessing the advances in manufacturing sectors was the major goal of this work and to identify the cuuent issues and challenches in manufacturing systems being Cognitive and or smart Afterward, we assessed the research challenges and open issues and facilitate knowledge accumulation in efficiently in the applications of Cognitive Internet of Things (CIoT) for smart manufacturing systems.

scholarly journals Cognitive Internet of Things-Oriented Multi-Domain Cooperation Dynamic Incentive Mechanism based on Reputation

2015 ◽  
Vol 10 (8) ◽  
pp. 2381-2392
Author(s):  
Tenghao Li ◽  
Ruijuan Zheng ◽  
Ying Li ◽  
Qingtao Wu ◽  
Mingchuan Zhang ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Incentive Mechanism ◽  
Sensor Nodes ◽  
Self Management ◽  
Selfish Nodes ◽  
Network Availability ◽  
Development Direction ◽  
Application Fields ◽  
Ubiquitous Network ◽  
Cognitive Internet Of Things

As a new ubiquitous network, Internet of Things (IoT, for short) is widely used in various fields, which has a huge network, diverse sensor nodes, multifarious communication protocol. The resource management in IoT is difficult and the application fields are also expanding. Meanwhile, complexity, uncertainty and ambiguity of IoT also contribute toward the development direction of “comprehensive cognition”, “intelligent decision”, so the introduction of cognitive elements into the IoT to constitute Cognitive Internet of Things (CIoT, for short) is particularly important. In allusion to the possible negative packets forward problem of selfish nodes in CIoT, we proposed a multi-domain cooperation dynamic incentive mechanism based on reputation in CIoT (C2R, for short). According to the characteristics of CIoT and the QoS requirements of the users, dynamic reputation evaluation between nodes is used to achieve the self-management of the network and motivate selfish nodes to forward packets. Meanwhile, multi-domain cooperative idea expands the application scope. The simulation results show that the mechanism can better enhance the network availability, and has a good performance in packets loss and throughput.

scholarly journals Industrial Automation Techniques based Internet of Things

2019 ◽  
Vol 8 (12S) ◽  
pp. 943-945
Keyword(s):  
Internet Of Things ◽  
Electronic Devices ◽  
Industrial Applications ◽  
Wireless Devices ◽  
Industrial Automation ◽  
Industrial Systems ◽  
Embedded Platform ◽  
Android Applications ◽  
Automation Techniques

Internet of Things (IoT) is the system of electronic devices implemented in the embedded platform that enables the program, sensors, and connection of networks for the collection and exchange of data and those led to the popularity of IoT. Here, we are building a network which monitors the industrial applications automatically and produce Alerts/Alarms and helps in making intelligent decisions with the help of IoT. Internet of things helps in developing effective industrial systems by making use of wireless devices,Android applications and sensors.

Open Issues and Security Challenges of Data Communication Channels in Distributed Internet of Things (IoT): A Survey

2018 ◽  
Vol 3 (1) ◽  
pp. 22-32 ◽  
Author(s):  
Ernest Ezema ◽  
Azizol Abdullah ◽  
Nor Fazlida Binti Mohd
Keyword(s):  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Industrial Revolution ◽  
Security And Privacy ◽  
The Internet ◽  
Ongoing Research ◽  
Advantages And Disadvantages ◽  
Exchange Information ◽  
The Internet Of Things ◽  
Open Issues

The concept of the Internet of Things (IoT) has evolved over time. The introduction of the Internet of Things and Services into the manufacturing environment has ushered in a fourth industrial revolution: Industry 4.0. It is no doubt that the world is undergoing constant transformations that somehow change the trajectory and history of humanity. We can illustrate this with the first and second industrial revolutions and the information revolution. IoT is a paradigm based on the internet that comprises many interconnected technologies like RFID (Radio Frequency Identification) and WSAN (Wireless Sensor and Actor Networks) to exchange information. The current needs for better control, monitoring and management in many areas, and the ongoing research in this field, have originated the appearance and creation of multiple systems like smart-home, smart-city and smart-grid. The IoT services can have centralized or distributed architecture. The centralized approach provides is where central entities acquire, process, and provide information while the distributed architectures, is where entities at the edge of the network exchange information and collaborate with each other in a dynamic way. To understand the two approaches, it is necessary to know its advantages and disadvantages especially in terms of security and privacy issues. This paper shows that the distributed approach has various challenges that need to be solved. But also, various interesting properties and strengths. In this paper we present the main research challenges and the existing solutions in the field of IoT security, identifying open issues, the industrial revolution and suggesting some hints for future research.

scholarly journals Internet of Things for Mental Health: Open Issues in Data Acquisition, Self-Organization, Service Level Agreement, and Identity Management

2021 ◽  
Vol 18 (3) ◽  
pp. 1327
Author(s):  
Leonardo J. Gutierrez ◽  
Kashif Rabbani ◽  
Oluwashina Joseph Ajayi ◽  
Samson Kahsay Gebresilassie ◽  
Joseph Rafferty ◽  
...  
Keyword(s):  
Mental Health ◽  
Internet Of Things ◽  
Data Acquisition ◽  
Identity Management ◽  
Service Level Agreement ◽  
Service Level ◽  
Self Organization ◽  
Future Research ◽  
Study Results ◽  
Open Issues

The increase of mental illness cases around the world can be described as an urgent and serious global health threat. Around 500 million people suffer from mental disorders, among which depression, schizophrenia, and dementia are the most prevalent. Revolutionary technological paradigms such as the Internet of Things (IoT) provide us with new capabilities to detect, assess, and care for patients early. This paper comprehensively survey works done at the intersection between IoT and mental health disorders. We evaluate multiple computational platforms, methods and devices, as well as study results and potential open issues for the effective use of IoT systems in mental health. We particularly elaborate on relevant open challenges in the use of existing IoT solutions for mental health care, which can be relevant given the potential impairments in some mental health patients such as data acquisition issues, lack of self-organization of devices and service level agreement, and security, privacy and consent issues, among others. We aim at opening the conversation for future research in this rather emerging area by outlining possible new paths based on the results and conclusions of this work.

scholarly journals Present and Future of Supercapacitor Technology Applied to Powertrains, Renewable Generation and Grid Connection Applications

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3060
Author(s):  
Gustavo Navarro ◽  
Jorge Torres ◽  
Marcos Blanco ◽  
Jorge Nájera ◽  
Miguel Santos-Herran ◽  
...  
Keyword(s):  
Energy Storage ◽  
Control Strategies ◽  
Industrial Applications ◽  
Frequency Regulation ◽  
Scientific Publications ◽  
Industrial Systems ◽  
Grid Connection ◽  
Huge Impact ◽  
Traction Drives ◽  
Electric Traction

Energy storage systems (ESS) are becoming essential as a solution for troublesome industrial systems. This study focuses on the application of a type of ESS, a high-power technology known in the literature as supercapacitors or electric double layer capacitors (EDLC). This technology has had a huge impact during the last decade on research related to the electric traction drives, renewable sources and powergrids. Related to this aspect, this paper summarizes the most relevant scientific publications in the last five years that study the use of supercapacitor technology (SCs) in electric traction applications (drives for rail vehicles and drives for road vehicles), generation systems for renewable energy (wind, solar and wave energy), and connection systems to the electric grid (voltage and frequency regulation and microgrids). The technology based on EDLC and the practical aspects that must be taken into account in the op-eration of these systems in industrial applications are briefly described. For each of the aforementioned applications, it is described how the problems are solved by using the energy storage technology, drawing the solutions proposed by different authors. Special attention is paid to the control strategies when combining SCs with other technologies, such as batteries. As a summary, some conclusions are collected drawn from the publications analyzed, evaluating the aspects in which it is necessary to conduct further research in order to facilitate the integration of EDLC technology.

scholarly journals Distributed Watchdogs Based on Blockchain for Securing Industrial Internet of Things

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4393
Author(s):  
JongHyup Lee ◽  
Taekyoung Kwon
Keyword(s):  
Internet Of Things ◽  
Software Protection ◽  
Industrial Internet Of Things ◽  
Industrial Systems ◽  
Industrial Internet ◽  
Unique Identity ◽  
Protection Mechanisms ◽  
Software Updates ◽  
Detailed Specification ◽  
Industrial Environments

The Industrial Internet of Things (IIoT) could enhance automation and analytics in industrial environments. Despite the promising benefits of IIoT, securely managing software updates is a challenging problem for those critical applications. This is due to at least the intrinsic lack of software protection mechanisms in legacy industrial systems. In this paper, to address the challenges in building a secure software supply chain for industrial environments, we propose a new approach that leverages distributed watchdogs with blockchain systems in protecting software supply chains. For this purpose, we bind every entity with a unique identity in the blockchain and employ the blockchain as a delegated authenticator by mapping every reporting action to a non-fungible token transfer. Moreover, we present a detailed specification to clearly define the behavior of systems and to apply model checking.

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