Event driven and semantic based approach for data processing on IoT gateway devices

Al-Osta, Mahmud; Bali, Ahmed; Gherbi, Abdelouahed

doi:10.1007/s12652-018-0843-y

Cited by 20 publications

(6 citation statements)

References 20 publications

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“…Recent works in IoT discovery techniques appeal to the use of data semantic description. For example, in [ 51 ] the authors introduce a data stream centric ontology and in [ 52 ] discuss the need of semantic data annotation in message syntax at the IoT edge level in gateways to facilitate interoperability but considering machine constraints. However, the description of message information by using structured formats generates long messages.…”

Section: Methodsmentioning

confidence: 99%

A Service Discovery Solution for Edge Choreography-Based Distributed Embedded Systems

Clavero

Montón

Palanca-Barrio

et al. 2021

Sensors

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This paper presents a solution to support service discovery for edge choreography based distributed embedded systems. The Internet of Things (IoT) edge architectural layer is composed of Raspberry Pi machines. Each machine hosts different services organized based on the choreography collaborative paradigm. The solution adds to the choreography middleware three messages passing models to be coherent and compatible with current IoT messaging protocols. It is aimed to support blind hot plugging of new machines and help with service load balance. The discovery mechanism is implemented as a broker service and supports regular expressions (Regex) in message scope to discern both publishing patterns offered by data providers and client services necessities. Results compare Control Process Unit (CPU) usage in a request–response and datacentric configuration and analyze both regex interpreter latency times compared with a traditional message structure as well as its impact on CPU and memory consumption.

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Section: Methodsmentioning

confidence: 99%

A Service Discovery Solution for Edge Choreography-Based Distributed Embedded Systems

Clavero

Montón

Palanca-Barrio

et al. 2021

Sensors

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“…In Al-Osta et al. ( 2019 ), they are presented as an aggregation of multiple granular events of common characteristics, furthermore, complex events usability is available for consumers as as an input to a complex events processing (CEP) engine (a system to process complex events and produce other meaningful complex events). In this work, they present complex event as a solution to first: find patterns of appearance of traffic disruptions, then feed it to CEP engine, and discover interesting correlations between cultural events, social media and their influence on traffic.…”

Section: Related Workmentioning

confidence: 99%

Distributed and scalable platform architecture for smart cities complex events data collection: Covid19 pandemic use case

Basmi,

Boulmakoul,

Karim

et al. 2021

J Ambient Intell Human Comput

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“…This include: 1) Cost effective and non-obstructive sensing devices [97]: design and evaluate a non-obstructive sensing devices with low cost is a challenging issue. 2) Data processing [98] and big data problem [99,100]: big data originate from sensing devises in a short time is hard to store and manage if the access to cloud is unavailable. 3) Security and privacy [101,102]: medical sensor data and electronic patient records are very critical and sensitive.…”

Section: Challenges and Future Trendsmentioning

confidence: 99%

A review of internet of medical things (IoMT) - based remote health monitoring through wearable sensors: a case study for diabetic patients

AlShorman

Alshorman²,

Al-khassaweneh

et al. 2020

IJEECS

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The latest advances and trends in information technology and communication have a vital role in healthcare industries. Theses advancements led to the Internet of Medical Things (IoMT) which provides a continuous, remote and real-time monitoring of patients. The IoMT architectures still face many challenges related to the bandwidth, communication protocols, big data and data volume, flexibility, reliability, data management, data acquisition, data processing and analytics availability, cost effectiveness, data security and privacy, and energy efficiency. The goal of this paper is to find feasible solutions to enhance the healthcare living facilities using remote health monitoring (RHM) and IoMT. In addition, the enhancement of the prevention, prognosis, diagnosis and treatment abilities using IoMT and RHM is also discussed. A case study of monitoring the vital signs of diabetic patients using real-time data processing and IoMT is also presented.

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Event driven and semantic based approach for data processing on IoT gateway devices

Cited by 20 publications

References 20 publications

A Service Discovery Solution for Edge Choreography-Based Distributed Embedded Systems

A Service Discovery Solution for Edge Choreography-Based Distributed Embedded Systems

Distributed and scalable platform architecture for smart cities complex events data collection: Covid19 pandemic use case

A review of internet of medical things (IoMT) - based remote health monitoring through wearable sensors: a case study for diabetic patients

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