An adaptive architecture for context-aware interaction in pervasive applications

作者：Alan Colman, Minh Hong Tran, Jun Han · 发表于：Swinburne figshare (Swinburne University of Technology) · 年份：2024 · DOI：10.25916/sut.26224763 · 被引用次数：3 · 研究领域：Context-Aware Activity Recognition Systems、Personal Information Management and User Behavior、Mobile Agent-Based Network Management

Adaptation is one of the key challenges in pervasive computing. Context-aware applications need to respond to dynamic physical and computing environments. In this paper, we propose an adaptive architecture for context-aware pervasive systems. The basis of our approach is that entities (e.g., user, device, application or group) are modelled as self-managed composites. Each composite maintains a representation of its relationships with other entities and any context conditions that affect those interactions. It then uses this context model to monitor and control its interactions. This loosely coupled architecture allows flexibility in configuring and monitoring components of pervasive systems, and thereby helps the systems to be more adaptable.