Paris, France France
July 18, 2012 to July 20, 2012
Pervasive computing systems are heterogenous and complex as they usually involve human activities, various sensors and actuators as well as middleware for system controlling. Therefore, analyzing such systems is highly non-trivial. In this work, we propose to use formal methods for analyzing pervasive computing systems. Firstly, a formal modeling framework is proposed to cover main characteristics of pervasive computing systems (e.g., context-awareness, concurrent communications, layered architectures). Secondly, we identify the safety requirements (e.g., free of deadlock and conflicts etc.) and propose their specifications as safety and liveness properties. Finally, we demonstrate our ideas using a case study of a smart nursing home system. Experimental results show the effectiveness of our approach in exploring system behaviors and revealing system design flaws such as information inconsistency and conflicting reminder services.
Computational modeling, Pervasive computing, Context, Adaptation models, Cognition, Sensor systems, System Verification, Pervasive Computing, Formal Modeling
Yan Liu, Xian Zhang, Jin Song Dong, Yang Liu, Jun Sun, Jit Biswas, Mounir Mokhtari, "Formal Analysis of Pervasive Computing Systems", ICECCS, 2012, Engineering of Complex Computer Systems, IEEE International Conference on, Engineering of Complex Computer Systems, IEEE International Conference on 2012, pp. 169-178, doi:10.1109/ICECCS.2012.19