Decentralised Service Composition using Potential Fields in Internet of Things Applications | Zendy

Elli Rapti | Zendy; Anthony Karageorgos | Zendy; Vassilis C. Gerogiannis | Zendy

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Decentralised Service Composition using Potential Fields in Internet of Things Applications

Author(s) -

Elli Rapti,

Anthony Karageorgos,

Vassilis C. Gerogiannis

Publication year - 2015

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2015.05.079

Subject(s) - computer science , service composition , service (business) , composition (language) , internet of things , process (computing) , evolvability , the internet , service provider , field (mathematics) , ubiquitous computing , world wide web , distributed computing , computer security , web service , human–computer interaction , linguistics , philosophy , economy , mathematics , evolutionary biology , pure mathematics , economics , biology , operating system

Traditional service composition approaches rely mostly on centralised architectures, which have been proven inadequate in pervasive Internet of Things (IoT)environments. In such settings, where decentralisation of decision-making is mandatory, nature-inspired computing paradigmshave emerged due to their inherent capability to accommodate spatiality, self-adaptivity, and evolvability. In this paper, taking inspiration from natural metaphors we propose a decentralised service composition model which is based on artificial potential fields. In the proposed approach, artificial potential fields (APFs) lead the service composition process through the balance of forces applied between service requests and service nodes. APFs areformed consideringthe percentage of user requested services that can be offered by service provision nodes, as well as service node availability.The applicability of the proposed approach is discussed in an exemplar scenario concerning dynamic and personalised composition of an audio-visual virtual guide service in an IoT network of a trade show venue

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