Subject Ph. D.

Accurate localization and synchronization are vital for wireless sensor networks used in applications like environmental monitoring and multi-agent coordination. Ultra-wideband (UWB) technology enables precise timestamp-based positioning and clock synchronization, but existing methods rely on multiple measurements and do not fully utilize network topology constraints. This project aims to develop robust, distributed position-clock estimation algorithms with convergence guarantees, enhancing adaptability to real-world challenges such as dynamic topologies, mobility, and environmental variations.

This PhD project explores advanced techniques for joint localization and clock synchronization in UWB wireless sensor networks. Conventional methods depend on repeated measurements and overlook structural constraints. Recent advancements in graph rigidity theory enable localization and synchronization with minimal timestamp data. This project seeks to build on these insights by designing distributed estimators that ensure stable convergence, even in dynamic environments. Addressing real-world complexities, the research will focus on robustness against mobility and topology changes, ultimately improving network reliability. The project will contribute scalable and resilient localization solutions with applications in autonomous systems, smart infrastructure, and distributed sensing.

The student will commence their studies at the University of Melbourne (UoM) for their first year of study. The second year of study will be spent at the University of Lorraine (UoL) with the support of UoL academics. The student will return to UoM in their third year completing their studies.