Integration of Wireless Communication Capabilities to Enable Context Aware Industrial Internet of Thing Environments

2021 ◽  
pp. 162-170
Author(s):  
Imanol Picallo ◽  
Peio López Iturri ◽  
Mikel Celaya-Echarri ◽  
Leyre Azpilicueta ◽  
Francisco Falcone
Keyword(s):  
Wireless Communication ◽  
Context Aware ◽  
Industrial Internet ◽  
Internet Of Thing

Smart Gateways for IOT-Factory Integration

2019 ◽  
pp. 149-170
Author(s):  
Eva Masero Rubio ◽  
Pedro Miguel Baptista Torres ◽  
Rogério Pais Dionísio
Keyword(s):  
Internet Of Things ◽  
Wireless Communication ◽  
Industrial Revolution ◽  
Shop Floor ◽  
Industrial Equipment ◽  
Financial Strength ◽  
Industrial Internet ◽  
Communication Devices

This book chapter proposes a description of smart gateways and cyber-physical systems (CPS) for the industrial internet of things (I-IOT). It also presents a case study where a smart gateway is developed to be used in different types of industrial equipment for the shop floor. The case study is developed under the specifications of different industries in the region of Castelo Branco. It is a proof that the 4th industrial revolution will be the engine for SME innovation, independence of the regions and their financial strength. It is also proof that the cooperation between universities, industries and startups can evolve to break barriers and add value in the improvement of regional industries competitiveness. Topics that will be addressed on the chapter can be used for developers, students, researchers and enthusiasts to learn topics related to I-IOT, such as data acquisitions systems, wired and wireless communication devices and protocols, OPC servers and LabVIEW programming.

Towards Adaptive and Scalable Context Aware Middleware

2012 ◽  
pp. 21-37
Author(s):  
Antonio Corradi ◽  
Mario Fanelli ◽  
Luca Foschini
Keyword(s):  
Wireless Communication ◽  
Data Dissemination ◽  
Social Computing ◽  
Hierarchical Architecture ◽  
Context Aware ◽  
University Campus ◽  
Computing Resource ◽  
Data Query ◽  
Context Data ◽  
Performance Results

The diffusion of portable client devices is promoting the spreading of novel mobile services, both traditional such as email and printing, and new such as social computing applications, capable of opportunistically exploiting any computing resource and any wireless connectivity encountered by roaming users. The new requirements call for novel context-aware middlewares to support and simplify the retrieval and the usage of context data. However, existing context data dissemination infrastructures still present several limitations: they are unable to adaptively exploit impromptu any wireless communication opportunity; they are unable to scale, especially in wide/densely populated environments; and they are prone to connection/device flaws. The article proposes a novel context-aware middleware that achieves adaptability, scalability, and dependability in context data dissemination through three main core guidelines: by using a distributed hierarchical architecture, by employing lightweight and adaptive context data dissemination solutions, and by adopting statistical context data/query replication techniques. The performance results, obtained by extensively testing the proposed solution in our wireless university campus testbed, have validated our design choices.

An industrial Internet of things based platform for context-aware information services in manufacturing

2018 ◽  
Vol 31 (11) ◽  
pp. 1111-1123 ◽  
Author(s):  
Kosmas Alexopoulos ◽  
Konstantinos Sipsas ◽  
Evangelos Xanthakis ◽  
Sotiris Makris ◽  
Dimitris Mourtzis
Keyword(s):  
Internet Of Things ◽  
Information Services ◽  
Context Aware ◽  
Industrial Internet Of Things ◽  
Industrial Internet

scholarly journals AI-Inspired Non-Terrestrial Networks for IIoT: Review on Enabling Technologies and Applications

IoT ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 21-48
Author(s):  
Emmanouel T. Michailidis ◽  
Stelios M. Potirakis ◽  
Athanasios G. Kanatas
Keyword(s):  
Wireless Communication ◽  
Communication Technologies ◽  
Optimization Methods ◽  
Sensors And Actuators ◽  
Delay Sensitive ◽  
Industrial Internet ◽  
Lower Complexity ◽  
Terrestrial Networks ◽  
Delay Tolerant ◽  
High Degree

During the last few years, various Industrial Internet of Things (IIoT) applications have emerged with numerous network elements interconnected using wired and wireless communication technologies and equipped with strategically placed sensors and actuators. This paper justifies why non-terrestrial networks (NTNs) will bring the IIoT vision closer to reality by providing improved data acquisition and massive connectivity to sensor fields in large and remote areas. NTNs are engineered to utilize satellites, airships, and aircrafts, which can be employed to extend the radio coverage and provide remote monitoring and sensing services. Additionally, this paper describes indicative delay-tolerant massive IIoT and delay-sensitive mission-critical IIoT applications spanning a large number of vertical markets with diverse and stringent requirements. As the heterogeneous nature of NTNs and the complex and dynamic communications scenarios lead to uncertainty and a high degree of variability, conventional wireless communication technologies cannot sufficiently support ultra-reliable and low-latency communications (URLLC) and offer ubiquitous and uninterrupted interconnectivity. In this regard, this paper sheds light on the potential role of artificial intelligence (AI) techniques, including machine learning (ML) and deep learning (DL), in the provision of challenging NTN-based IIoT services and provides a thorough review of the relevant research works. By adding intelligence and facilitating the decision-making and prediction procedures, the NTNs can effectively adapt to their surrounding environment, thus enhancing the performance of various metrics with significantly lower complexity compared to typical optimization methods.

Endorsement Policy for Industrial Internet of Thing with Private Blockchain

2021 ◽  
Author(s):  
Yunseong Lee ◽  
Donghyun Lee ◽  
Junsuk Oh ◽  
Laihyuk Park ◽  
Woongsoo Na ◽  
...  
Keyword(s):  
Industrial Internet ◽  
Internet Of Thing

Blockchain-Enabled Decentralized Reliable Smart Industrial Internet of Things (BCIIoT)

2021 ◽  
pp. 192-204
Author(s):  
Chandramohan Dhasarathan ◽  
Shanmugam M. ◽  
Shailesh Pancham Khapre ◽  
Alok Kumar Shukla ◽  
Achyut Shankar
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Wireless Communication ◽  
Information Flow ◽  
Data Transfer ◽  
Base Station ◽  
Transmission Power ◽  
Wireless Devices ◽  
Industrial Internet ◽  
Iot Devices

The development of wireless communication in the information technological era, collecting data, and transfering it from unmanned systems or devices could be monitored by any application while it is online. Direct and aliveness of countless wireless devices in a cluster of the medium could legitimate unwanted users to interrupt easily in an information flow. It would lead to data loss and security breach. Many traditional algorithms are effectively contributed to the support of cryptography-based encryption to ensure the user's data security. IoT devices with limited transmission power constraints have to communicate with the base station, and the data collected from the zones would need optimal transmission power. There is a need for a machine learning-based algorithm or optimization algorithm to maximize data transfer in a secure and safe transmission.

scholarly journals Dryer performance – Reducing energy consumption, improving the product and sharing information

2018 ◽  
Author(s):  
Michael Whaley ◽  
F. Poandl
Keyword(s):  
Agricultural Products ◽  
Processed Foods ◽  
Critical Properties ◽  
Long Term Storage ◽  
Industrial Internet ◽  
The World ◽  
Term Storage ◽  
Reducing Energy ◽  
Internet Of Thing

The evaporation of water is a major energy consumer around the world where the evaporation of water from agricultural products, natural resources, processed foods and feeds, and petrochemical products is required for long term storage, subsequent processing or other desired attributes. The control of product attributes associated with drying can also be challenging in terms of measurement and modelling which may lead to inefficiencies in the operation of a dryer. This discussion below will address solutions to improve the thermal efficiency of dryers and to control the critical properties of the product being dried.  In addition, the benefits of haring information between the dryer supplier and the dryer operator will be discussed through the use of the Industrial Internet of Thing Keywords: heat recover; design; control.  

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