Agent-based Negotiation Approach for Feature Interactions in Smart Home Systems using Calculus of the Context-aware Ambient

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Date
2019-12-02Abstract
Smart Home Systems (SHSs) provide several services which are tailored
to different residents’ preferences. As a result, SHSs are highly
exposed to undesirable interactions, known as feature interactions (FIs).
FIs might occur as a result of a conflict in services’ goals or a conflict with
residents’ preferences. Previous studies have proposed solutions based
on applying priorities, in which some services or preferable features are
disabled in favour of other services. Alternatively, the agent-based negotiation
approach (ABNA) utilises agents and applies negotiation, enabling
services with contrary features to work simultaneously. ABNA avoids
applying priority between services or house residents’ preferences whenever
a space for a compromise exists. The mechanism of ABNA is based
on the use of a hierarchy of features based on their contribution to the
function of the service or on the importance of these features to house
residents. To achieve a compromise between conflicting services, ABNA
models services and residents by using agents, and implements a negotiation
algorithm that allows services with conflicting features to work
simultaneously. This paper presents a description of ABNA with a formal
specification of ABNA in the Calculus of Context-aware Ambient (CCA).
This enables the formal analysis of ABNA by using the execution environment
of CCA.
Description
The file attached to this record is the author's final peer reviewed version.
Citation : Alfakeeh, A.S., Al-Bayatti, A.H., Siewe, F., Baker, T. (2019) Agent-based Negotiation Approach for Feature Interactions in Smart Home Systems using Calculus of the Context-aware Ambient. Transactions on Emerging Telecommunications Technologies,
ISSN : 2161-3915
Research Institute : Cyber Technology Institute (CTI)
Peer Reviewed : Yes