scholarly journals Device Identification Interoperability in Heterogeneous IoT Platforms

Sensors ◽  
2019 ◽  
Vol 19 (6) ◽  
pp. 1433 ◽  
Author(s):  
Jahoon Koo ◽  
Se-Ra Oh ◽  
Young-Gab Kim
Keyword(s):  
Continuous Improvement ◽  
Identification System ◽  
Device Identification ◽  
Resource Request ◽  
Sensor Device ◽  
Iot Platform ◽  
Considerable Research ◽  
Sensor Devices ◽  
Iot Platforms ◽  
Ibm Watson

With the continuous improvement of Internet of Things (IoT) technologies, various IoT platforms are under development. However, each IoT platform is developed based on its own device identification system. That is, it is challenging to identify each sensor device between heterogeneous IoT platforms owing to the resource request format (e.g., device identifier) varying between platforms. Moreover, despite the considerable research focusing on resource interoperability between heterogeneous IoT platforms, little attention is given to sensor device identification systems in diverse IoT platforms. In order to overcome this problem, the current work proposes an IoT device name system (DNS) architecture based on the comparative analysis of heterogeneous IoT platforms (i.e., oneM2M, GS1 ‘Oliot’, IBM ‘Watson IoT’, OCF ‘IoTivity’, FIWARE). The proposed IoT DNS analyzes and translates the identification system of the device and resource request format. In this process, resource requests between heterogeneous IoT platforms can be reconfigured appropriately for the resources and services requested by the user, and as a result, users can use heterogeneous IoT services. Furthermore, in order to illustrate the aim of the proposed architecture, the proposed IoT DNS is implemented and tested on a microcomputer. The experimental results show that a oneM2M-based device successfully performs a resource request to a Watson IoT and FIWARE sensor devices.

Internet of Things (IoT) Interoperability Success Criteria

2021 ◽  
Vol 17 (1) ◽  
pp. 85-105
Author(s):  
Hany Abdelghaffar ◽  
Mohamed Abousteit
Keyword(s):  
Internet Of Things ◽  
Selection Criteria ◽  
Business Value ◽  
Digital Service ◽  
Iot Platform ◽  
Digital Services ◽  
Iot Platforms ◽  
Technical Factors ◽  
The Internet Of Things

To deliver more value to customers, companies are striving to offer more digital services, and the internet of things (IOT) is the main enabler to maximize such value. However, one of the major challenges companies are facing is digital service integration with other providers, where IoT platform is playing important role to achieve such integration opening door for interoperability within actors in the IoT ecosystem. There have been a little research addressing IoT platforms interoperability from business value perspective, considering technical and non-technical factors as selection criteria to adopt such platforms. This paper uses a case study as a method. To validate the suggested interoperability criteria, interviews were conducted for IoT platform providers and two things providers. It was observed that considering technical factors alone when selecting IoT platform make companies oversee the value technology add to their business as IoT platform is not only about technology but also about business model in which this platform will be operating and the company position and role in IoT ecosystem. The paper contributes by providing criteria to achieve interoperability for IoT platform from both technical and business aspects.

scholarly journals Mastering Interactions with Internet of Things Platforms through the IoTVar Middleware

Proceedings ◽  
2019 ◽  
Vol 31 (1) ◽  
pp. 78
Author(s):  
Pedro Victor Borges ◽  
Chantal Taconet ◽  
Sophie Chabridon ◽  
Denis Conan ◽  
Thais Batista ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Future Internet ◽  
Internet Applications ◽  
Device Discovery ◽  
Geographically Dispersed ◽  
Iot Platform ◽  
Level Of Knowledge ◽  
Iot Platforms ◽  
Client Side ◽  
Application Developers

The rising popularity of the Internet of Things (IoT) has led to a plethora of highly heterogeneous, geographically dispersed devices. In recent years, IoT platforms have been used to provide a variety of services to applications such as device discovery, context management, and data analysis. However, the lack of standardization currently means that each IoT platform comes with its own abstractions, APIs, and interactions. As a consequence, programming the interactions between an application and an IoT platform is often time consuming, error prone, and depends on the developers’ level of knowledge about the IoT platform. To address these issues, we propose offering to application developers on the client side the possibility to declare variables that are automatically mapped to sensors and whose values are transparently updated with sensor observations. For this purpose, we introduce IoTVar, a middleware between IoT applications and platforms. In IoTVar, all the necessary interactions with IoT platforms are managed by proxies. This paper presents IoTVar integrated with the FIWARE platform, which is used for developing IoT Future Internet applications. We also report results of some experiments performed to evaluate IoTVar, showing IoTVar reduces the effort required to declare and manage IoT variables and its impact in terms of CPU, memory, and energy.

scholarly journals Developing Secure IoT Services: A Security-Oriented Review of IoT Platforms

Symmetry ◽  
2018 ◽  
Vol 10 (12) ◽  
pp. 669 ◽  
Author(s):  
Daniel Díaz López ◽  
María Blanco Uribe ◽  
Claudia Santiago Cely ◽  
Daniel Tarquino Murgueitio ◽  
Edwin Garcia Garcia ◽  
...  
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Market Place ◽  
Specific Service ◽  
Smart Objects ◽  
Common Criteria ◽  
Iot Platform ◽  
Depth Study ◽  
Iot Platforms ◽  
The Internet Of Things

Undoubtedly, the adoption of the Internet of Things (IoT) paradigm has impacted on our every-day life, surrounding us with smart objects. Thus, the potentialities of this new market attracted the industry, so that many enterprises developed their own IoT platforms aiming at helping IoT services’ developers. In the multitude of possible platforms, selecting the most suitable to implement a specific service is not straightforward, especially from a security perspective. This paper analyzes some of the most prominent proposals in the IoT platforms market-place, performing an in-depth security comparison using five common criteria. These criteria are detailed in sub-criteria, so that they can be used as a baseline for the development of a secure IoT service. Leveraging the knowledge gathered from our in-depth study, both researchers and developers may select the IoT platform which best fits their needs. Additionally, an IoT service for monitoring commercial flights is implemented in two previously analyzed IoT platforms, giving an adequate detail level to represent a solid guideline for future IoT developers.

Sol-Gel Processed Alumina based Materials in Microcalorimeter Sensor Device Fabrication for Automotive Applications

1996 ◽  
Vol 431 ◽  
Author(s):  
S. R. Nakouzi ◽  
J. R. McBride ◽  
K. E. Nietering ◽  
C. K. Narula
Keyword(s):  
Sol Gel ◽  
Device Fabrication ◽  
Automotive Applications ◽  
Automotive Exhaust ◽  
Exhaust Gases ◽  
Sensor Device ◽  
Sensor Devices

AbstractThe application of sol-gel processed materials in a variety of sensors has been proposed. We describe microcalorimeter sensor devices employing sol-gel processed alumina based materials which can be used to monitor pollutants in automotive exhaust. These sensors operate by measuring changes in resistance upon catalysis and are economically acceptable for automotive applications. It is important to point out that automobiles will be required to have a means of monitoring exhaust gases by on-board sensors as mandated by the EPA and the California Air Resources Board (OBD-II).

scholarly journals Energy Efficient MAC Scheme for Wireless Sensor Networks with High-Dimensional Data Aggregate

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Seokhoon Kim ◽  
Hangki Joh ◽  
Seungjun Choi ◽  
Intae Ryoo
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
High Dimensional Data ◽  
Wireless Sensor ◽  
High Dimensional ◽  
Sink Node ◽  
Group Management ◽  
Mac Scheme ◽  
Sensor Device ◽  
Sensor Devices

This paper presents a novel and sustainable medium access control (MAC) scheme for wireless sensor network (WSN) systems that process high-dimensional aggregated data. Based on a preamble signal and buffer threshold analysis, it maximizes the energy efficiency of the wireless sensor devices which have limited energy resources. The proposed group management MAC (GM-MAC) approach not only sets the buffer threshold value of a sensor device to be reciprocal to the preamble signal but also sets a transmittable group value to each sensor device by using the preamble signal of the sink node. The primary difference between the previous and the proposed approach is that existing state-of-the-art schemes use duty cycle and sleep mode to save energy consumption of individual sensor devices, whereas the proposed scheme employs the group management MAC scheme for sensor devices to maximize the overall energy efficiency of the whole WSN systems by minimizing the energy consumption of sensor devices located near the sink node. Performance evaluations show that the proposed scheme outperforms the previous schemes in terms of active time of sensor devices, transmission delay, control overhead, and energy consumption. Therefore, the proposed scheme is suitable for sensor devices in a variety of wireless sensor networking environments with high-dimensional data aggregate.

scholarly journals Thematic Dynamics of Internet of Things (IoT): Impact on Digital Personalized Healthcare (PHC)

2021 ◽  
Author(s):  
Bongs Lainjo
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Data Mining ◽  
Successful Implementation ◽  
Daily Lives ◽  
Personalized Healthcare ◽  
Iot Platform ◽  
Iot Platforms ◽  
Almost All

Abstract Background: Information technology has continued to shape contemporary thematic trends. Advances in communication have impacted almost all themes ranging from education, engineering, healthcare, and many other aspects of our daily lives. Method: This paper attempts to review the different dynamics of the thematic IoT platforms. A select number of themes are extensively analyzed with emphasis on data mining (DM), personalized healthcare (PHC), and thematic trends of a select number of subjectively identified IoT-related publications over three years. In this paper, the number of IoT-related-publications is used as a proxy representing the number of apps. DM remains the trailblazer, serving as a theme with crosscutting qualities that drive artificial intelligence (AI), machine learning (ML), and data transformation. A case study in PHC illustrates the importance, complexity, productivity optimization, and nuances contributing to a successful IoT platform. Among the initial 99 IoT themes, 18 are extensively analyzed using the number of IoT publications to demonstrate a combination of different thematic dynamics, including subtleties that influence escalating IoT publication themes. Results: Based on findings amongst the 99 themes, the annual median IoT-related publications for all the themes over the four years were increasingly 5510, 8930, 11700, and 14800 for 2016, 2017, 2018, and 2019 respectively; indicating an upbeat prognosis of IoT dynamics. Conclusion: The vulnerabilities that come with the successful implementation of IoT systems are highlighted including the successes currently achieved by institutions promoting the benefits of IoT-related systems like the case study. Security continues to be an issue of significant importance.

scholarly journals Lysis chatbot: A virtual assistant for IoT platforms

2021 ◽  
Vol 2 (5) ◽  
pp. 81-91
Author(s):  
Raimondo Cossu ◽  
Roberto Girau ◽  
Luigi Atzori
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Full Potential ◽  
Proper Solution ◽  
Iot Platform ◽  
Iot Platforms ◽  
User Centric

The configuration and management of devices and applications in Internet of Things (IoT) platforms may be very complicated for a user, which may limit the usage of relevant functionalities and which does not allow its full potential to be exploited. To address this issue, in this paper we present a new chatbot which is intended to assist the user in interacting with an IoT platform and allow them to use and exploit its full potential. The requirements for a user-centric design of the chatbot are first analyzed, then a proper solution is designed which exploits a serverless approach and makes extensive use of Artificial Intelligence (AI) tools. The developed chatbot is integrated with Telegram to message between the user and the Lysis IoT platform. The performance of the developed chatbot is analyzed to assess its effectiveness when accessing the platform, set the main devices' parameters and request data of interest.

scholarly journals Dynamic Speed Control of Unmanned Aerial Vehicles for Data Collection under Internet of Things

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3951 ◽  
Author(s):  
Qi Pan ◽  
Xiangming Wen ◽  
Zhaoming Lu ◽  
Linpei Li ◽  
Wenpeng Jing
Keyword(s):  
Data Collection ◽  
Internet Of Things ◽  
Unmanned Aerial Vehicles ◽  
Collection Efficiency ◽  
Speed Control ◽  
Analytical Models ◽  
Typical Application ◽  
Aerial Vehicles ◽  
Sensor Device ◽  
Sensor Devices

With the new advancements in flight control and integrated circuit (IC) technology, unmanned aerial vehicles (UAVs) have been widely used in various applications. One of the typical application scenarios is data collection for large-scale and remote sensor devices in the Internet of things (IoT). However, due to the characteristics of massive connections, access collisions in the MAC layer lead to high power consumption for both sensor devices and UAVs, and low efficiency for the data collection. In this paper, a dynamic speed control algorithm for UAVs (DSC-UAV) is proposed to maximize the data collection efficiency, while alleviating the access congestion for the UAV-based base stations. With a cellular network considered for support of the communication between sensor devices and drones, the connection establishment process was analyzed and modeled in detail. In addition, the data collection efficiency is also defined and derived. Based on the analytical models, optimal speed under different sensor device densities is obtained and verified. UAVs can dynamically adjust the speed according to the sensor device density under their coverages to keep high data collection efficiency. Finally, simulation results are also conducted to verify the accuracy of the proposed analytical models and show that the DSC-UAV outperforms others with the highest data collection efficiency, while maintaining a high successful access probability, low average access delay, low block probability, and low collision probability.

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