Sensation: a middleware integration platform for pervasive applications in wireless sensor networks

Hasiotis, T.; Alyfantis, George; Tsetsos, Vassileios; Sekkas, Odysseas; Hadjiefthymiades, Stathes

doi:10.1109/ewsn.2005.1462028

Cited by 16 publications

(4 citation statements)

References 17 publications

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“…Sensation [169] is database-oriented middleware developed for WSN applications, and designed to provide support for different sensors, network infrastructures and middleware technologies. This level of heterogeneity is supported through an abstraction layer.…”

Section: F Database-oriented Middlewaresmentioning

confidence: 99%

Middleware for Internet of Things: A Survey

Razzaque

Milojevic-Jevric

Palade

et al. 2016

IEEE Internet Things J.

860

380

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The Internet-of-Things (IoT) envisages a future in which digital and physical things or objects (e.g., smartphones, TVs, cars) can be connected by means of suitable information and communication technologies, to enable a range of applications and services. The IoT's characteristics, including an ultra largescale network of things, device and network level heterogeneity, and the large number of events generated spontaneously by these things, will make development of the diverse applications and services a very challenging task. In general, middleware can ease the development process by integrating heterogeneous computing and communications devices, and supporting interoperability within the diverse applications and services. Recently, there have been a number of proposals for IoT middleware. These proposals mostly addressed Wireless Sensor Networks (WSNs), a key component of IoT, but do not consider Radio-Frequency IDentification (RFID), Machine to Machine (M2M) communications, and Supervisory Control and Data Acquisition (SCADA), other three core elements in the IoT vision. Taking a holistic view, in this article, we outline a set of requirements for IoT middleware, and present a comprehensive review of the existing middleware solutions against those requirements. In addition, open research issues, challenges and future research directions are highlighted.

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Section: F Database-oriented Middlewaresmentioning

confidence: 99%

Middleware for Internet of Things: A Survey

Razzaque

Milojevic-Jevric

Palade

et al. 2016

IEEE Internet Things J.

860

380

View full text Add to dashboard Cite

show abstract

“…Database-oriented Centralises IoT data management [27][28][29] Structured data storage, support for complex queries Overheads, scalability issues, single points of failure Tuple spaces Distributed shared memory concept [30][31][32] Flexibility, synchronous/asynchronous communication…”

Section: Overheads and Performance Issuesmentioning

confidence: 99%

A Novel Semantic IoT Middleware for Secure Data Management: Blockchain and AI-Driven Context Awareness

Elkhodr,

Khan,

Gide

2024

Future Internet

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In the modern digital landscape of the Internet of Things (IoT), data interoperability and heterogeneity present critical challenges, particularly with the increasing complexity of IoT systems and networks. Addressing these challenges, while ensuring data security and user trust, is pivotal. This paper proposes a novel Semantic IoT Middleware (SIM) for healthcare. The architecture of this middleware comprises the following main processes: data generation, semantic annotation, security encryption, and semantic operations. The data generation module facilitates seamless data and event sourcing, while the Semantic Annotation Component assigns structured vocabulary for uniformity. SIM adopts blockchain technology to provide enhanced data security, and its layered approach ensures robust interoperability and intuitive user-centric operations for IoT systems. The security encryption module offers data protection, and the semantic operations module underpins data processing and integration. A distinctive feature of this middleware is its proficiency in service integration, leveraging semantic descriptions augmented by user feedback. Additionally, SIM integrates artificial intelligence (AI) feedback mechanisms to continuously refine and optimise the middleware’s operational efficiency.

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“…However, it does not resolve the issues related to energy efficiency, interoperability, adaptiveness, and context awareness. Other examples of database-oriented middleware solutions include Sensation [61], TinyDB [62], and HyCache [63]. In these solutions, database queries are used to get approximate data of interest from the sensor nodes; they do not support the real-time requirement of the IoT infrastructure.…”

Section: Database-oriented Middleware Solutionsmentioning

confidence: 99%

Middleware Solutions for the Internet of Things: A Survey

Khaddar¹

2021

Middleware Architecture

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The Internet of Things (IoT), along with its wider variants including numerous technologies, things, and people: the Internet of Everything (IoE) and the Internet of Nano Things (IoNT), are considered as part of the Internet of the future and ubiquitous computing allowing the communication among billions of smart devices and objects, and have recently drawn a very significant research attention. In these approaches, there are varieties of heterogeneous devices empowered by new capabilities and interacting with each other to achieve specific applications in different domains. A middleware layer is therefore required to abstract the physical layer details of the smart IoT devices and ease the complex and challenging task of developing multiple backend applications. In this chapter, an overview of IoT technologies, architecture, and main applications is given first and then followed by a comprehensive survey on the most recently used and proposed middleware solutions designed for IoT networks. In addition, open issues in IoT middleware design and future works in the field of middleware development are highlighted.

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Sensation: a middleware integration platform for pervasive applications in wireless sensor networks

Cited by 16 publications

References 17 publications

Middleware for Internet of Things: A Survey

Middleware for Internet of Things: A Survey

A Novel Semantic IoT Middleware for Secure Data Management: Blockchain and AI-Driven Context Awareness

Middleware Solutions for the Internet of Things: A Survey

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