Decentralised Service Composition using Potential Fields in Internet of Things Applications

Rapti, Elli; Karageorgos, Anthony; Gerogiannis, Vassilis C.

doi:10.1016/j.procs.2015.05.079

Cited by 14 publications

(2 citation statements)

References 4 publications

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“…The validity and advantages of the model and the algorithm were tested through the smart car manufacturing simulation experiment in the cloud. Rapti et al [8] proposed a decentralized service composition model for pervasive IoT environments that relies on artificial potential fields (APFs), while Dijkman et al [9] proposed a framework for developing business models in IoT applications. The framework was created from a literature survey on existing business model frameworks.…”

Section: Related Workmentioning

confidence: 99%

Design of a Language for IoT Service Composition

Machorro-Cano¹,

Alor-Hernández²,

Olmedo-Aguirre³

et al. 2019

RCS

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In the Internet of Things (IoT) ecosystem, multiple smart devices communicate among them and with people. Similarly, they are primarily characterized by remarkable detection and processing capabilities. On the other hand, a service composition (SC) task involves performing the orchestration or choreography of services. SC is frequently studied in the context of Web services (WS), where a series of standards have been developed and used in real-world implementations to support SC. Unfortunately, these standards are inadequate in the IoT paradigm, since IoT devices are based on data/events and the resources are restricted. This research work proposes the design of a language for IoT SC, while simultaneously discussing important literature on SC, business process, IoT service orchestration, and IoT service choreography. Finally, as a proof-ofconcept, we present a case study of IoT service composition in the healthcare domain for patients with overweight or obesity.

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Section: Related Workmentioning

confidence: 99%

Design of a Language for IoT Service Composition

Machorro-Cano¹,

Alor-Hernández²,

Olmedo-Aguirre³

et al. 2019

RCS

View full text Add to dashboard Cite

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“…The composition of thing services has also gained interest. The model proposed in [29] uses artificial potential fields to deliver a decentralized service composition. Which is claimed to be suitable for local interaction.…”

Section: Related Workmentioning

confidence: 99%

An Architectural Model for Fog Computing

Abdelaziz¹,

Adda²,

Mcheick³

2018

JUSPN

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The adoption of the Internet of Things raises many challenges. A variety of its applications require widespread distribution and high mobility support. In addition to low latency and real time services. To meet these challenges, the Fog Computing is arguably a suitable solution to leverage the Internet of Things with such requirements. Indeed, we believe that the nearness of Fog nodes to the edge of the network provides an environment for critical preemptive and proactive applications and services (e.g., predicting natural disasters). Thus, this paper proposes an architectural model for Fog Computing. First, it presents a middleware to abstract the underlying devices and to unify the sensed data. Second, it describes an Operational Layer intended for service presentation, management and transformation. An environment embracing such model will provide means for early data analysis, hence low latency and real time responses. In addition, to providing an ecosystem for direct collaboration between services leading to more sophisticated applications. A flood warning system exemplifies a use case scenario to illustrate the potential adaption and application of the presented model.

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