scholarly journals Cloud Based Smart City Services for Industrial Internet of Things in Software-Defined Networking

2021 ◽  
Vol 13 (16) ◽  
pp. 8910
Author(s):  
Himanshi Babbar ◽  
Shalli Rani ◽  
Aman Singh ◽  
Mohammed Abd-Elnaby ◽  
Bong Jun Choi
Keyword(s):  
Internet Of Things ◽  
Load Balancing ◽  
Heuristic Algorithms ◽  
Smart Cities ◽  
Software Defined Networking ◽  
Threshold Value ◽  
Support Network ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
The Impact

The network session constraints for Industrial Internet of Things (IIoT) applications are different and challenging. These constraints necessitates a high level of reconfigurability, so that the system can assess the impact of an event and adjust the network effectively. Software Defined Networking (SDN) in contrast to existing networks segregates the control and data plane to support network configuration which is programmable with smart cities requirement that shows the highest impact on the system but faces the problem of reliability. To address this issue, the SDN-IIoT based load balancing algorithm is proposed in this article and it is not application specific.Quality of service (QoS) aware architecture i.e., SDN-IIoT load balancing scheme is proposed and it deals with load on the servers. Huge load on the servers, makes them vulnerable to halt the system and hence leads to faults which creates the reliability problem for real time applications. In this article, load is migrated from one server to another server, if load on one server is more than threshold value. Load distribution has made the proposed scheme more reliable than already existing schemes. Further, the topology used for the implementation has been designed using POX controller and the results has been evaluated using Mininet emulator with its support in python programming. Lastly, the performance is evaluated based on the various Quality of Service (QoS) metrics; data transmission, response time and CPU utilization which shows that the proposed algorithm has shown 10% improvement over the existing LBBSRT, Random, Round-robin, Heuristic algorithms.

Dynamic pricing in industrial internet of things: Blockchain application for energy management in smart cities

2020 ◽  
Vol 55 ◽  
pp. 102615 ◽  
Author(s):  
Hasan Ali Khattak ◽  
Komal Tehreem ◽  
Ahmad Almogren ◽  
Zoobia Ameer ◽  
Ikram Ud Din ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Energy Management ◽  
Dynamic Pricing ◽  
Smart Cities ◽  
Industrial Internet Of Things ◽  
Industrial Internet

How Can Industrial Internet of Things (IIoT) Improve Enterprise Productivity?

2020 ◽  
pp. 112-133
Author(s):  
Erdinç Koç
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Detailed Knowledge ◽  
Healthcare Industry ◽  
Industrial Internet Of Things ◽  
Time Consumption ◽  
Industrial Internet ◽  
Smart Cars ◽  
Industrial Part

This chapter gives brief information about internet of things (IoT) and then detailed knowledge of industrial internet of things (IIoT). Internet of things applications can be seen in different areas, such as smart cars, smart homes, smart cities, agriculture, healthcare, industry, etc. This study focuses on the industrial part. Industrial internet of things (IIoT) means internet of things (IoT) applications for industrial usage. IIoT give a chance to enterprise for tracking supply chains, monitoring production line operations, and real-time consumption of energy, managing stock, and transportation decisions. This study used case study method for developing theory about IIoT's contribution to enterprise productivity. IIoT applications can be adapted to which operations of the enterprise, and how it will contribute to enterprise productivity is explained in this chapter. The chapter discusses the projects that are within the vision of IIoT but not yet implemented and concludes with suggestions for future studies.

Blockchain-Based Industrial Internet of Things for the Integration of Industrial Process Automation Systems

2021 ◽  
pp. 163-186
Author(s):  
Charles Tim Batista Garrocho ◽  
Célio Márcio Soares Ferreira ◽  
Carlos Frederico Marcelo da Cunha Cavalcanti ◽  
Ricardo Augusto Rabelo Oliveira
Keyword(s):  
Internet Of Things ◽  
Industrial Process ◽  
Industrial Processes ◽  
Process Automation ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
Automation Systems ◽  
Machine Communication ◽  
Time Systems ◽  
The Impact

The industrial internet of things is expected to attract significant investment to the industry. In this new environment, blockchain presents immediate potential in industrial IoT applications, offering several benefits to industrial cyber-physical systems. However, works in the blockchain literature target environments that do not meet the reality of the factory and do not assess the impact of the blockchain on industrial process requirements. Thus, this chapter presents an investigation of the evolution of industrial process automation systems and blockchain-based applications in the horizontal and vertical integration of the various systems in a supply chain and factories. In addition, through an investigation of experimental work, this work presents issues and challenges to be faced for the application of blockchain in industrial processes. Evaluations and discussions are mainly focused on aspects of real-time systems in machine-to-machine communication of industrial processes.

scholarly journals Techniques for designing value propositions applicable to the concept of outcome-economy

2017 ◽  
Vol 9 (1) ◽  
pp. 56-63 ◽  
Author(s):  
Sylwia Gierej
Keyword(s):  
Internet Of Things ◽  
Value Proposition ◽  
Industrial Internet Of Things ◽  
A Value ◽  
Industrial Internet ◽  
Innovative Solutions ◽  
Value Propositions ◽  
The Impact

Abstract The purpose of this article is to analyse and present some techniques that support the design of a value proposition in the context of the outcome-economy. The proposed techniques are intended to support traditional companies in the design of innovative solutions. Also, the discussed techniques were compared to identify the most effective. The study was conducted based on the information available in the literature on the impact of the Industrial Internet of Things on the economy and creation of a value proposition.

scholarly journals Software-Defined Networking Solutions, Architecture and Controllers for the Industrial Internet of Things: A Review

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6585
Author(s):  
Claudio Urrea ◽  
David Benítez
Keyword(s):  
Internet Of Things ◽  
Software Defined Networking ◽  
Network Control ◽  
Distributed Network ◽  
Industrial Internet Of Things ◽  
Analytic Hierarchy ◽  
Core Element ◽  
Industrial Networks ◽  
Centralized Management ◽  
Industrial Internet

The use of Software-Defined Networking (SDN) in the communications of the Industrial Internet of Things (IIoT) demands more comprehensive solutions than those developed to date. The lack of an SDN solution applicable in diverse IIoT scenarios is the problem addressed in this article. The main cause of this problem is the lack of integration of a set of aspects that should be considered in a comprehensive SDN solution. To contribute to the solution of this problem, a review of the literature is conducted in this article, identifying the main requirements for industrial networks nowadays as well as their solutions through SDN. This review indicates that aspects such as security, independence of the network technology used, and network centralized management can be tackled using SDN. All the advantages of this technology can be obtained through the implementation of the same solution, considering a set of aspects proposed by the authors for the implementation of SDNs in IIoT networks. Additionally, after analyzing the main features and advantages of several architectures proposed in the literature, an architecture with distributed network control is proposed for all SDN network scenarios in IIoT. This architecture can be adapted through the inclusion of other necessary elements in specific scenarios. The distributed network control feature is relevant here, as it prevents a single fault-point for an entire industrial network, in exchange for adding some complexity to the network. Finally, the first ideas for the selection of an SDN controller suitable for IIoT scenarios are included, as this is the core element in the proposed architecture. The initial proposal includes the identification of six controllers, which correspond to different types of control planes, and ten characteristics are defined for selecting the most suitable controller through the Analytic Hierarchy Process (AHP) method. The analysis and proposal of different fundamental aspects for the implementation of SDNs in IIoT in this article contribute to the development of a comprehensive solution that is not focused on the characteristics of a specific scenario and would, therefore, be applicable in limited situations.

A multi-factor integration-based semi-supervised learning for address resolution protocol attack detection in SDIIoT

2021 ◽  
Vol 17 (12) ◽  
pp. 155014772110599
Author(s):  
Zhong Li ◽  
Huimin Zhuang
Keyword(s):  
Internet Of Things ◽  
Supervised Learning ◽  
Software Defined Networking ◽  
Training Data ◽  
Detection Methods ◽  
Industrial Internet Of Things ◽  
Data Set ◽  
Correct Judgment ◽  
Industrial Internet ◽  
Address Resolution Protocol

Nowadays, in the industrial Internet of things, address resolution protocol attacks are still rampant. Recently, the idea of applying the software-defined networking paradigm to industrial Internet of things is proposed by many scholars since this paradigm has the advantages of flexible deployment of intelligent algorithms and global coordination capabilities. These advantages prompt us to propose a multi-factor integration-based semi-supervised learning address resolution protocol detection method deployed in software-defined networking, called MIS, to specially solve the problems of limited labeled training data and incomplete features extraction in the traditional address resolution protocol detection methods. In MIS method, we design a multi-factor integration-based feature extraction method and propose a semi-supervised learning framework with differential priority sampling. MIS considers the address resolution protocol attack features from different aspects to help the model make correct judgment. Meanwhile, the differential priority sampling enables the base learner in self-training to learn efficiently from the unlabeled samples with differences. We conduct experiments based on a real data set collected from a deepwater port and a simulated data set. The experiments show that MIS can achieve good performance in detecting address resolution protocol attacks with F1-measure, accuracy, and area under the curve of 97.28%, 99.41%, and 98.36% on average. Meanwhile, compared with fully supervised learning and other popular address resolution protocol detection methods, MIS also shows the best performance.

scholarly journals Enabling the Industrial Internet of Things to Cloud Continuum in a Real City Environment

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7707
Author(s):  
Fábio Henrique Cabrini ◽  
Filippo Valiante Valiante Filho ◽  
Pedro Rito ◽  
Albérico Barros Barros Filho ◽  
Susana Sargento ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Industrial Internet Of Things ◽  
Global Industry ◽  
Operating Modes ◽  
City Environment ◽  
Iot Platform ◽  
Industrial Internet ◽  
Living Lab ◽  
And Performance

The Industrial Internet of Things (IIoT) is one of the most demanding IoT applications. The insertion of industries in the context of smart cities and other smart environments, allied with new communication technologies such as 5G, brings a new horizon of possibilities and new requirements. These requirements include low latency, the support of a massive quantity of devices and data, and the need to support horizontal communications between devices at the edge level. To make this feasible, it is necessary to establish an IIoT-to-cloud continuum distributing federated brokers across the infrastructure and providing scalability and interoperability. To attend this type of application, we present the Helix Multi-layered IoT platform and its operating modes. We report and discuss its real-world deployment in the Aveiro Tech City Living Lab in Aveiro, Portugal with functional and performance tests. We tested device-to-device communication across edge and core layers and also interconnected the infrastructure with one in São Paulo, Brazil, replicating the use of a global industry. The successful deployment validates the use of a Helix Multi-layered IoT platform as a suitable backend platform for IIoT applications capable of establishing the IIoT-to-cloud continuum. It also helps for the deployment of other applications in such a domain.

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