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SenSAR: Research

We pursue high-impact, innovative research into fundamental aspects of wireless sensor networks and sensor network applications of benefit to Australia. Our current research interests include heterogenous, mobile and delay tolerant sensor network architectures; node localization and adaptive location management; resource provisioning and communication paradigms for tiered sensor networks; media access protocols, and the design of fault-tolerant sensor networks. Our research methodology involves a combination of innovative algorithm design, extensive simulations, implementation and theoretical and experimental validation.

Projects

  • Sensor Network Technology: This research investigate the use of Wireless Sensor network(WSN) for object detection and tracking. The
    goal of the project is to develop a prototype of WirelessSensor Network (WSN) for outdoor deployment.We aim to design a system which is capable of
    self-configuration and calibration using inexpensive off-theshelf WSN devices. These devices are capable of sensing acoustic and magnetic signals generated by different target objects. The system should be able to estimate and track the target based on the spatial differences of the target object
    signal strength detected by sensors at different locations.Data fusion technologies such as particle filters will be introduced to handle both environment and sensing noises associated with these inexpensive sensors. This is exteremely challenging as it requires high systemrobustness, real time decision making, high frequency sampling, multi-modality sensing, complex signal processing and data fusion, and distributed coordination.

 

 

  • PWSN and Mining :This project proposes a remote mine surveillance system for monitoring the environmental characteristics and tracking personnel and equipment using wireless sensor networks. Real-time delivery of sensed data will improve the response time in the event of a calamity. The lack of dependence on fixed infrastructure results in robust operation and will aid locating trapped personnel in the event of an emergency. System design will be guided by empirical models of the characterization of wireless communication in harsh mining conditions. The solution will be tested and evaluated in a real-world underground mine. This project provides an opportunity for cross-disciplinary research in computer science and mining engineering.

 

  • REKF Localization : We are developing a system for node localization using mobile robots for delay-tolerant sensor networks.

 

  • Cane-toad monitoring : Cane-toads are endangering the existence of native frog populations in Kakadu National Park, Australia. We explore how state-of-the-art wireless sensor technology can be used to track cane-toad populations in Kakadu National Park, Australia.
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