The Internet of Things Architectures and Use Cases

2022 ◽  
pp. 101-125
Author(s):  
Jinsi Jose ◽  
Deepa V. Jose
Keyword(s):  
Internet Of Things ◽  
Use Cases ◽  
The Internet ◽  
The Internet Of Things

scholarly journals Analysis of P4 and XDP for IoT Programmability in 6G and Beyond

IoT ◽  
2020 ◽  
Vol 1 (2) ◽  
pp. 605-622
Author(s):  
David Carrascal ◽  
Elisa Rojas ◽  
Joaquin Alvarez-Horcajo ◽  
Diego Lopez-Pajares ◽  
Isaías Martínez-Yelmo
Keyword(s):  
Internet Of Things ◽  
Software Defined Networking ◽  
Use Cases ◽  
Future Research ◽  
The Internet ◽  
Cpu Usage ◽  
Iot Devices ◽  
The Internet Of Things

Recently, two technologies have emerged to provide advanced programmability in Software-Defined Networking (SDN) environments, namely P4 and XDP. At the same time, the Internet of Things (IoT) represents a pillar of future 6G networks, which will be also sustained by SDN. In this regard, there is a need to analyze the suitability of P4 and XDP for IoT. In this article, we aim to compare both technologies to help future research efforts in the field. For this purpose, we evaluate both technologies by implementing diverse use cases, assessing their performance and providing a quick qualitative overview. All tests and design scenarios are publicly available in GitHub to guarantee replication and serve as initial steps for researchers that want to initiate in the field. Results illustrate that currently XDP is the best option for constrained IoT devices, showing lower latency times, half the CPU usage, and reduced memory in comparison with P4. However, development of P4 programs is more straightforward and the amount of code lines is more similar regardless of the scenario. Additionally, P4 has a lot of potential in IoT if a special effort is made to improve the most common software target, BMv2.

scholarly journals Concurrency Control in the Problem of Automatic Substitution of the Dataflow Network Agent on Smart-M3 Platform and in the Internet of Things

2015 ◽  
Vol 19 (5) ◽  
pp. 131-141
Author(s):  
S. I. Balandin ◽  
A. M. Vasilev ◽  
N. I. Kozhemyakin ◽  
D. A. Laure ◽  
I. V. Paramonov
Keyword(s):  
Internet Of Things ◽  
Concurrency Control ◽  
Use Cases ◽  
The Internet ◽  
The Internet Of Things ◽  
Dataflow Networks

The paper describes implementation of dataflow networks based on Smart-M3 platform for use cases related to the Internet of Things. The mechanism for automatic substitution of computational agents created on top of Smart-M3 platform is described. The paper reviews concurrency issues of the developed solution regarding Smart-M3 platform, as well as in the broader context of the Internet of Things.

MQTT Protocol Use Cases in the Internet of Things

2021 ◽  
pp. 146-162
Author(s):  
D. Shanmugapriya ◽  
Akshet Patel ◽  
Gautam Srivastava ◽  
Jerry Chun-Wei Lin
Keyword(s):  
Internet Of Things ◽  
Use Cases ◽  
The Internet ◽  
The Internet Of Things

The Internet of Things (IoT) Paradigm: The Use Cases

2020 ◽  
pp. 1-20
Author(s):  
A. Suresh ◽  
Malarvizhi Nandagopal ◽  
Pethuru Raj ◽  
E. A. Neeba ◽  
Jenn-Wei Lin
Keyword(s):  
Internet Of Things ◽  
Use Cases ◽  
The Internet ◽  
The Internet Of Things

scholarly journals Data Analytics in the Internet of Things: A Survey

2019 ◽  
Vol 20 (4) ◽  
pp. 607-630 ◽  
Author(s):  
Tausifa Jan Saleem ◽  
Mohammad Ahsan Chishti
Keyword(s):  
Internet Of Things ◽  
Data Analytics ◽  
Use Cases ◽  
Future Research ◽  
The Internet ◽  
Iot Applications ◽  
Open Research ◽  
Comprehensive Survey ◽  
And Control ◽  
The Internet Of Things

The plethora of sensors deployed in Internet of Things (IoT) environments generate unprecedented volumes of data, thereby creating a data deluge. Data collected from these sensors can be used to comprehend, examine and control intricate environments around us, facilitating greater intelligence, smarter decision-making, and better performance. The key challenge here is how to mine out proficient information from such immense data. Copious solutions have been put forth to obtain valuable inferences and insights, however, these solutions are still in their developing stages. Moreover, conventional procedures do not address the surging analytical demands of IoT systems. Motivated to resolve this concern, this work investigates the key enablers for performing desired data analytics in IoT applications. A comprehensive survey on the identified key enablers including their role in IoT data analytics, use cases in which they have been applied and the corresponding IoT applications for the use cases is presented. Furthermore, open research challenges and future research opportunities are also discussed. This article can be used as a basis to foster advanced research in the arena of IoT data analytics.

The case for blockchain in IoT identity management

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Patrícia R. Sousa ◽  
João S. Resende ◽  
Rolando Martins ◽  
Luís Antunes
Keyword(s):  
Internet Of Things ◽  
Design Methodology ◽  
Identity Management ◽  
Privacy Preserving ◽  
Use Cases ◽  
The Internet ◽  
Use Case ◽  
Ongoing Research ◽  
Content Type ◽  
The Internet Of Things

PurposeThe aim of this paper is to evaluate the use of blockchain for identity management (IdM) in the context of the Internet of things (IoT) while focusing on privacy-preserving approaches and its applications to healthcare scenarios.Design/methodology/approachThe paper describes the most relevant IdM systems focusing on privacy preserving with or without blockchain and evaluates them against ten selected features grouped into three categories: privacy, usability and IoT. Then, it is important to analyze whether blockchain should be used in all scenarios, according to the importance of each feature for different use cases.FindingsBased on analysis of existing systems, Sovrin is the IdM system that covers more features and is based on blockchain. For each of the evaluated use cases, Sovrin and UniquID were the chosen systems.Research limitations/implicationsThis paper opens new lines of research for IdM systems in IoT, including challenges related to device identity definition, privacy preserving and new security mechanisms.Originality/valueThis paper contributes to the ongoing research in IdM systems for IoT. The adequacy of blockchain is not only analyzed considering the technology; instead the authors analyze its application to real environments considering the required features for each use case.

scholarly journals Enabling the secure use of Dynamic Identity for the Internet of Things — using the Secure Remote Update Protocol (SRUP)

2020 ◽  
Author(s):  
Andrew John Poulter ◽  
Steven J. Ossont ◽  
Simon J. Cox
Keyword(s):  
Internet Of Things ◽  
Use Cases ◽  
The Internet ◽  
Practical Implementation ◽  
Different Types ◽  
Identity Model ◽  
Dynamic Identity ◽  
Iot Devices ◽  
Deployed Systems ◽  
The Internet Of Things

This paper examines dynamic identity, as it pertains to the IoT; and explores the practical implementation of a mitigation to some of the key weaknesses of a conventional dynamic identity model. This paper explores human-centric and machine-based observer approaches for confirming device identity, permitting automated identity confirmation for deployed systems. It also assesses the advantages of dynamic identity in the context of identity revocation permitting secure change of ownership for IoT devices. The paper explores use-cases for human and machine-based observation for authentication of device identity when devices join a C2 network, and considers the relative merits for these two approaches for different types of system.

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