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Decentralised service composition using potential fields in internet of things applications
Elli Rapti
, Anthony Karageorgos
, Vassilis C. Gerogiannis
Education and Technological Institute of Kavala
Technological Educational Institute of Larissa
Research output
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peer-review
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Keyphrases
Service Composition
100%
Internet of Things Applications
100%
Decentralized Service
100%
Artificial Potential Field
100%
Potential Field
100%
Service Nodes
66%
Service Provision
33%
Force Applied
33%
Computing Paradigm
33%
Internet of Things Networks
33%
Force Balance
33%
Node Availability
33%
Internet of Things Environment
33%
Audio
33%
Evolvability
33%
Trade Shows
33%
Centralized Architecture
33%
Service Request
33%
Nature-inspired Computing
33%
Spatiality
33%
Traditional Services
33%
Composition Process
33%
Service Composition Model
33%
Composition Approach
33%
Virtual Guide
33%
Self-adaptivity
33%
Decentralized Decision-making
33%
Computer Science
Service Composition
100%
Internet-Of-Things
100%
artificial potential field
75%
Decision-Making
25%
Service Provision
25%
computing paradigm
25%
Service Request
25%
Requested Service
25%