Erratum to: Integration, Interconnection, and Interoperability of IoT Systems

Gravina, Raffaele; Palau, Carlos E.; Manso, Marco; Liotta, Antonio; Fortino, Giancarlo

doi:10.1007/978-3-319-61300-0_11

Cited by 12 publications

(10 citation statements)

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“…One of the elements that enables this continuous exchange of information is the use of data models. To acquire more significant value, the specific vocabulary of the sector must be unified, which is defined by the set of attributes that compose the entities and their relationships [28]. As NGSI-LD allows us to link data from other vocabularies or ontologies, we added a level of interoperability to the model.…”

Section: Proposed Data Modelmentioning

confidence: 99%

Digital Transformation of Agriculture through the Use of an Interoperable Platform

López-Morales

Martı́nez²,

Skarmeta

2020

Sensors

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The continuous evolution of the agricultural sector justifies the incorporation and adaptation of the latest technologies. Nowadays, managing crops is possible through Internet-based technologies. Their application allows for the exploitation of information and the development of isolated applications, which, although powerful, create challenges for obtaining scalable predictions throughout the useful life of farms. To address this problem, a data model was defined to improve the management of crop plots in irrigation communities and simultaneously monitor crop needs. Consequently, the objective of this study was to create an open and interoperable platform based on standard interfaces and protocols to enable the integration of heterogeneous sources of information, while ensuring interoperability with other third-party solutions for exchanging and exploiting such information. Standard and open interfaces and protocols form the basis of the platform, thereby unifying all information in a single data model, which facilitates the better use and dissemination of information. The system was fully instantiated in a real prototype in an irrigation community; the software improved water irrigation management for the farmers connected to the platform.

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Section: Proposed Data Modelmentioning

confidence: 99%

Digital Transformation of Agriculture through the Use of an Interoperable Platform

López-Morales

Martı́nez²,

Skarmeta

2020

Sensors

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“…Applications of IoT frequently perform data analysis and realtime predictive analytics [4] that require informative automated measurements. IoT-based sensor solutions attempt to support ubiquitous computing [5] and interoperability [6][7][8] by transforming low-level sensor data into high-level knowledge that is comprehensible to humans and machines [9].…”

Section: Introductionmentioning

confidence: 99%

A Review of Semantic Sensor Technologies in Internet of Things Architectures

Honti

Abonyi

2019

Complexity

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Intelligent sensors should be seamlessly, securely, and trustworthy interconnected to enable automated high-level smart applications. Semantic metadata can provide contextual information to support the accessibility of these features, making it easier for machines and humans to process the sensory data and achieve interoperability. The unique overview of sensor ontologies according to the semantic needs of the layers of IoT solutions can serve a guideline of engineers and researchers interested in the development of intelligent sensor-based solutions. The explored trends show that ontologies will play an even more essential role in interlinked IoT systems as interoperability and the generation of controlled linkable data sources should be based on semantically enriched sensory data.

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“…A Wireless Sensor Network (WSN) has completely redefined itself as it enters the arena of futuristic technology called as Internet-of-Things (IoT) [1]. It is believed that IoT is all about integrating sensor nodes with cloud in order to exponentially expand the network size as well as capability [2].…”

Section: Introductionmentioning

confidence: 99%

n-Tier Modelling of Robust Key management for Secure Data Aggregation in Wireless Sensor Network

Metan¹,

Murthy

2019

IJECE

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Security problems in Wireless Sensor Network (WSN) have been researched from more than a decade. There are various security approaches being evolving towards resisting various forms of attack using different methodologies. After reviewing the existing security approaches, it can be concluded that such security approaches are highly attack-specific and doesnt address various associated issues in WSN. It is essential for security approach to be computationally lightweight. Therefore, this paper presents a novel analytical modelling that is based on n-tier approach with a target to generate an optimized secret key that could ensure higher degree of security during the process of data aggregation in WSN. The study outcome shows that proposed system is computationally lightweight with good performance on reduced delay and reduced energy consumption. It also exhibits enhanced response time and good data delivery performance to balance the need of security and data forwarding performance in WSN.

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Erratum to: Integration, Interconnection, and Interoperability of IoT Systems

Abstract: In the original version of the book, incorrect author name "Maria Ghanza" has to be corrected as "Maria Ganzha" in Preface and in chapter "Towards Multi-layer Interoperability of Heterogeneous IoT Platforms: The INTER-IoT Approach". The erratum book has been updated with the change.

Cited by 12 publications

References 0 publications

Digital Transformation of Agriculture through the Use of an Interoperable Platform

Digital Transformation of Agriculture through the Use of an Interoperable Platform

A Review of Semantic Sensor Technologies in Internet of Things Architectures

n-Tier Modelling of Robust Key management for Secure Data Aggregation in Wireless Sensor Network

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