A Semantic Processing Framework for IoT-Enabled Communication Systems

Ali, Muhammad Intizar; Ono, Naomi; Kaysar, Mahedi; Griffin, Keith; Mileo, Alessandra

doi:10.1007/978-3-319-25010-6_14

Cited by 23 publications

(6 citation statements)

References 11 publications

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“…Few of these applications special features to share screen, record meeting, online attendance, sketch boards. These application helps to conduct meeting and share work without any mess (11).…”

Section: Iot Enabled Virtual Classrooms and Meetingsmentioning

confidence: 99%

Role of Internet of Things (IoT) During COVID-19: Applications and Challenges

Thakare¹,

Kumbhar²

2022

ECS Trans.

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The World Health Organization (WHO) had declared novel coronavirus (COVID-19) as a global pandemic. Almost all sectors of the industry have been affected. Every country in the world is trying to stabilize their economy. The healthcare industry is under tremendous pressure to keep up with demands and expectations. This pandemic situation has imposed a war like situation on whole world. A majority of the world is facing challenges like scarcity of resources, overburdened healthcare systems, lockdown and unemployment. This paper aims at exploring various technologies related to IoT to understand applications and challenges which needs to be addressed. IoT is being used along with various other technology like Blockchain and Artificial Intelligence. This can be very effective for remote diagnosis and treatment, which is very important in today’s situation where social distancing is most effective to battle COVID-19. This situation gave us the opportunity to understand challenges and develop solutions for the pandemic situation.

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Section: Iot Enabled Virtual Classrooms and Meetingsmentioning

confidence: 99%

Role of Internet of Things (IoT) During COVID-19: Applications and Challenges

Thakare¹,

Kumbhar²

2022

ECS Trans.

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“…Ali et al [ 21 ] proposed an IoT-enabled communication implemented on StreamRule that performs event-condition-actions rules in ASP. This allows one to define action rules on specific events detected in the stream.…”

Section: Related Workmentioning

confidence: 99%

Streaming MASSIF: Cascading Reasoning for Efficient Processing of IoT Data Streams

Bonte

Tommasini

Valle

et al. 2018

Sensors

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In the Internet of Things (IoT), multiple sensors and devices are generating heterogeneous streams of data. To perform meaningful analysis over multiple of these streams, stream processing needs to support expressive reasoning capabilities to infer implicit facts and temporal reasoning to capture temporal dependencies. However, current approaches cannot perform the required reasoning expressivity while detecting time dependencies over high frequency data streams. There is still a mismatch between the complexity of processing and the rate data is produced in volatile domains. Therefore, we introduce Streaming MASSIF, a Cascading Reasoning approach performing expressive reasoning and complex event processing over high velocity streams. Cascading Reasoning is a vision that solves the problem of expressive reasoning over high frequency streams by introducing a hierarchical approach consisting of multiple layers. Each layer minimizes the processed data and increases the complexity of the data processing. Cascading Reasoning is a vision that has not been fully realized. Streaming MASSIF is a layered approach allowing IoT service to subscribe to high-level and temporal dependent concepts in volatile data streams. We show that Streaming MASSIF is able to handle high velocity streams up to hundreds of events per second, in combination with expressive reasoning and complex event processing. Streaming MASSIF realizes the Cascading Reasoning vision and is able to combine high expressive reasoning with high throughput of processing. Furthermore, we formalize semantically how the different layers in our Cascading Reasoning Approach collaborate.

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“…Semantic reasoning enables to derive actionable insights out of this interlinked data, e.g., the light in a room is too bright for a patient with concussion. Several semantic IoT middleware frameworks have emerged to enable (real-time) semantic data annotation and support the development of data analytics components based on this enriched data [18], including Sense2Web [19], XGSN [20], [21], and SOFIA2 [22]. However, most of them assume centralized processing of the data in the cloud.…”

Section: B Real-time Data Analytics For Iotmentioning

confidence: 99%

Real-Time data dissemination and analytics platform for challenging IoT environments

Daneels¹,

Municio²,

Spaey³

et al. 2017

2017 Global Information Infrastructure and Networking Symposium (GIIS)

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The advent of Internet-of-Things (IoT) applications, such as environmental monitoring, smart cities, and home automation, has taken the IoT concept from hype to reality at a massive scale. However, more mission-critical application areas such as energy, security and health care do not only demand low-power connectivity, but also highly reliable and guaranteed performance. While fulfilling these requirements under controlled conditions such as urban and indoor environments is relatively trivial, tackling the same obstacles in a more challenging and dynamic setting is significantly more complicated. In environments where infrastructure is sparse, such as rural or remote areas, specialized infrastructure-less ad-hoc solutions are needed, which provide long-range multi-hop connectivity to remote sensors and actuators. In this paper we propose a new general-purpose IoT platform based on a combination of Low-power Wireless Personal Area Network (LoWPAN) and multi-hop Wireless Sensor Network (WSN) technology. It supports reliable and guaranteed realtime data dissemination and analysis, as well as actuator control, in dynamic and challenging infrastructure-less environments. In this paper, we present the IoT platform architecture and an initial hard-and software prototype. Moreover, a use case based on realtime monitoring and training adaptation for cyclists is presented. Based on this case study, evaluation results are presented that show the ability of the proposed platform to operate under challenging and dynamic conditions.

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A Semantic Processing Framework for IoT-Enabled Communication Systems

Cited by 23 publications

References 11 publications

Role of Internet of Things (IoT) During COVID-19: Applications and Challenges

Role of Internet of Things (IoT) During COVID-19: Applications and Challenges

Streaming MASSIF: Cascading Reasoning for Efficient Processing of IoT Data Streams

Real-Time data dissemination and analytics platform for challenging IoT environments

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