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A RESTful task allocation mechanism for the Web of Things

Authors :
Jean-Paul Jamont
Michael Mrissa
Lionel Médini
El-Mehdi Khalfi
Jamont, Jean-Paul
Laboratoire de Conception et d'Intégration des Systèmes (LCIS)
Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])
Service Oriented Computing (SOC)
Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS)
Institut National des Sciences Appliquées de Lyon (INSA Lyon)
Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL)
Université de Lyon-École Centrale de Lyon (ECL)
Université de Lyon-Université Lumière - Lyon 2 (UL2)-Institut National des Sciences Appliquées de Lyon (INSA Lyon)
Université de Lyon-Université Lumière - Lyon 2 (UL2)
Traces, Web, Education, Adaptation, Knowledge (TWEAK)
Source :
IEEE RIVF International Conference on Computing Communication Technologies, Research, Innovation, and Vision for the Future, IEEE RIVF International Conference on Computing Communication Technologies, Research, Innovation, and Vision for the Future, Nov 2016, Hanoi, Vietnam, HAL, RIVF
Publication Year :
2016
Publisher :
HAL CCSD, 2016.

Abstract

The Web of Things extends the Internet of Things with Web technologies to interconnect smart things and build scalable, adaptable, and interoperable applications. In this context, smart things expose their services as RESTful resources, to be combined in composite applications. Though, due to the proliferation of connected objects, multiple smart things often are available to provide a single service, showing the need for a task allocation mechanism for the Web of Things. Our work addresses the task allocation problem, which consists in selecting a set of objects to realize a complex application in a setup where several objects provide the same functionality. We rely on a multi-agent approach to describe this problem as a Distributed Constraint Satisfaction problem. We propose a solution that respects the fundamental principles of the Web by respecting the REST architectural style and design principles. We implemented our solution with a typical smart city scenario to show the applicability of our approach.

Details

Language :
English
Database :
OpenAIRE
Journal :
IEEE RIVF International Conference on Computing Communication Technologies, Research, Innovation, and Vision for the Future, IEEE RIVF International Conference on Computing Communication Technologies, Research, Innovation, and Vision for the Future, Nov 2016, Hanoi, Vietnam, HAL, RIVF
Accession number :
edsair.doi.dedup.....97aba4775566282f8ca9d10669c026cb