Research

Current research topics:

Cognitive multi-hop networks


Post-doctoral fellow: Jerry Chen. Collaborators: Wei Zhang, Salil Kanhere, Sanjay Jha
  • We are interested to do design cognitive multi-hop networks to improve the application performance. This piece of work will appear in: Q. Chen, C.T. Chou, S. Kanhere, W. Zhang and S. Jha. Performance of Multi-hop Whisper Cognitive Radio Networks. Accepted by Fourth IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks 2010 (DySPAN 2010), 2010. Technical report UNSW-CSE-TR-0917 Performance of Multi-hop Whisper Cognitive Radio Networks


Compressive sensing for wireless sensor networks


Research student: Rajib Rana; Collaborators: Wen Hu (CSIRO), Aleksandar Ignjatovic (UNSW)

We are interested to understand how the recent theory of compressive sensing can be used to improve the performance of wireless sensor networks. Our recent contributions include:
  • We propose a method based on sparse random matrices to manage manage a rechargable wireless sensor network consisting of power-hungry sensors. This work will appear in: Rajib Rana, Wen Hu and Chun Tung Chou, Energy-Aware Sparse Approximation Technique (EAST) for Rechargeable Wireless Sensor Networks. Accepted by 7th European Conference on Wireless Sensor Networks (EWSN) 2010


  • We study how adaptive compressive sensing can be used to efficiently collect information from a wireless sensor networks. See Chun Tung Chou, Rajib Rana and Wen Hu. Energy efficient information collection in wireless sensor networks using adaptive compressive sensing . In Proc. of the 34th Annual IEEE Conference on Local Computer Networks (LCN 2009), pp. 443-450, 2009.

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    Participactory sensing


    Research students: Rajib Rana, Alex YiFei Dong. Collaborators: Salil Kanhere (UNSW), Nirupama Bulusu (Portland State University), Wen Hu (CSIRO)

    Our research in participatory sensing looks at a few different problems:
    • We study how mobile phones can be used to measure noise pollution in the participatory sensing setting. We have developed an end-to-end system to realise such an application. In particular, since participatory sensing does not guarantee the availability of samples, we study how the incomplete data problem can be overcome. See:

    • Although information technology has enable the automation of many work processes, we find that a lot of data is still collected manually. We propose the use of participatory sensing as an automatic method to collect petrol prices. The detail of this proposal can be found in:

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    Multicast in wireless mesh networks


    Research students: Adelmenen Bilh, Zin Zhao, Junaid Qadir (Graduated). Collaborators: Sanjay Jha (UNSW), Jun Guo (UNSW), Archan Misra (Telcordia), Cormac Sreenan (University of Cork), Wanqing Tu (Glyndwr University)

    The focus of our research is to design efficient algorithm for multiast in wireless mesh networks.
    • We study how the multi-rate nature of wireless broadcast will affect the performance of multicast in wireless mesh networks. We design algorithms for multi-rate multicast for both single-radio single-channel and multi-radio multi-channel wireless mesh networks. We also introduce the idea of rate-area product which informs us how transmission rate affect broadcast performane. Selected publications are:
    • We propose a new routing metric for reliable multicast in wireless mesh networks. See:

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    Multimedia networking

    Students: Werayut Saesue, Evan Tan. Collaborator: Jian Zhang (NICTA).


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