Publication Type
Journal Article
Version
publishedVersion
Publication Date
1-2014
Abstract
Smart systems equipped with emerging pervasive computing technologies enable people with limitations to live in their homes independently. However, lack of guarantees for correctness prevent such system to be widely used. Analysing the system with regard to correctness requirements is a challenging task due to the complexity of the system and its various unpredictable faults. In this work, we propose to use formal methods to analyse pervasive computing (PvC) systems. Firstly, a formal modelling framework is proposed to cover the main characteristics of such systems (e.g., context-awareness, concurrent communications, layered architectures). Secondly, we identify the safety requirements (e.g., free of deadlocks and conflicts) and specify them as safety and liveness properties. Furthermore, based on the modelling framework, we propose an approach of verifying reasoning rules which are used in the middleware for perceiving the environment and making adaptation decisions. Finally, we demonstrate our ideas using a case study of a smart healthcare system. Experimental results show the usefulness of our approach in exploring system behaviours and revealing system design flaws such as information inconsistency and conflicting reminder services.
Keywords
Model Check, Linear Temporal Logic, Liveness Property, Ambient Assist Live, Linear Temporal Logic Formula
Discipline
Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
Lecture Notes in Artificial Intelligence
Volume
8780
First Page
62
Last Page
91
ISSN
0302-9743
Identifier
10.1007/978-3-662-44871-7_3
Publisher
Springer Verlag (Germany) / Springer Verlag (Germany): Computer Proceedings
Citation
LIU, Yan; ZHANG, Xian; LIU, Yang; DONG, Jin Song; SUN, Jun; BISWAS, Jit; and MOKHTARI, Mounir.
Towards formal modelling and verification of pervasive computing systems. (2014). Lecture Notes in Artificial Intelligence. 8780, 62-91.
Available at: https://ink.library.smu.edu.sg/sis_research/4981
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1007/978-3-662-44871-7_3