Formal analysis of communication protocols for wireless sensor systems

Valkov, Ivaylo (2024) Formal analysis of communication protocols for wireless sensor systems. PhD thesis, University of Glasgow.

Abstract

Sensor technology is an increasingly popular area of research due to the prevalent use of sensor devices. With the need for accurate, detailed data sensors are increasingly often used together in sensor networks. As the size of these sensor networks grows, so does the importance of efficient methods for their analysis for the prevention of system errors and discovery of design flaws. The increasing number of sensor devices leads to an exponential increase is the state space of the associated model. As such models of realistic systems are decreasingly often small enough for their verification to be feasible. Symmetry reduction techniques developed over the last 30 years, have been shown to be effective in reducing the state space explosion problem, particularly in the case of heterogeneous sensor systems, which contain many identical sensor devices.

In this thesis we present our approach to verifying Ctrl-MAC, a novel wireless network protocol that supports bidirectional communication of multiple simultaneous physical properties. We explore the extent to which symmetry reduction can aid the model checking process for a sensor network communication protocol. We present our results, and suggest statistical approaches based on our observations of the protocol.

We investigate the use of automated tools for the application of symmetry reduction, in particular GRIP, which is well suited for symmetry reduction of wireless sensor network systems. Models of communication protocols often require the use of synchronisation to model the interaction between devices. We present GRIP 3.0, a new version of the tool, which provides support for the use of synchronised transition statements. We provide results from practical work, coupled together with a discussion of drawbacks and future improvements.

• Item Type: Thesis (PhD)
• Qualification Level: Doctoral
• Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
• Colleges/Schools: College of Science and Engineering > School of Computing Science
• Funder's Name: Engineering and Physical Sciences Research Council (EPSRC), Engineering and Physical Sciences Research Council (EPSRC)
• Supervisor's Name: Miller, Professor Alice and Sevegnani, Dr. Michele
• Date of Award: 2024
• Depositing User: Theses Team
• Unique ID: glathesis:2024-84308
• Copyright: Copyright of this thesis is held by the author.
• Date Deposited: 09 May 2024 15:24
• Last Modified: 09 May 2024 15:24
• Thesis DOI: 10.5525/gla.thesis.84308
• URI: https://theses.gla.ac.uk/id/eprint/84308