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Article Dans Une Revue IET Software Année : 2018

Smart and Safe Self-Adaption of Connected Devices Based on Discrete Controllers

Arthur Gatouillat
Youakim Badr
Bertrand Massot

Résumé

The Internet-of-things, which designates the interconnection of physical objects, is a growing research area with many challenges. One of these challenges is the management of failures and unforeseen situations when using connected devices in real world applications. To this end, the authors propose a self-adaptation framework to deal with changes and take into account storage, computational and communication constraints. Their self-adaptation framework relies on constraints expressed in terms of quality of service (QoS) and event-driven rules to specify control objectives. Internally, the framework generates labelled transitions systems and builds on the fly synchronous controllers to guarantee QoS properties. Moreover, their framework has capabilities to concurrently deal with dynamic control objectives, monitoring and self-adaptation. To prove the practicality of their framework, they present a healthcare case-study to remotely monitor a patient at risk of myocardial infarction recurrence. The objective control rules easily specify how wearable devices should coordinate their behaviours to ensure safety, resilience and health-awareness factors. The implementation of their framework is fully distributed and scalable and include their development of a wearable, remotely configurable, QoS aware cardiac activity sensor.

Dates et versions

hal-01854053 , version 1 (06-08-2018)

Identifiants

Citer

Arthur Gatouillat, Youakim Badr, Bertrand Massot. Smart and Safe Self-Adaption of Connected Devices Based on Discrete Controllers. IET Software, 2018, 13 (1), pp.49-59. ⟨10.1049/iet-sen.2018.5029⟩. ⟨hal-01854053⟩
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