Wireless Networks (WiNe) Research Group

Announcements

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Paper by Alejandra Duque-Torres on "Heavy-Hitter Flow Identification in Data Centre Networks Using Packet Size Distribution and Template Matching," is a Best Paper Award candidate at the IEEE 44th Conference on Local Computer Networks (LCN), October 14-17, 2019, Osnabrück, Germany!!!

Recent Achievements

Best Paper Award

PhD student, Hang Yu's paper on "Pulse Arrival Scheduling for Nanonetworks Under Limited IoT Access Bandwidth" has won the Best Paper Award in the 42nd IEEE Conference on Local Computer Networks (LCN) held in Singapore 9-12 Oct 2017. We have four papers, including the Best Paper, in this conference which is ranked A by CORE/ERA since 2008. A recording of the presentation can be found here.

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Scholarships

VUW PhD scholarships

Three times a year, Victoria University of Wellington accepts applications for admission into our PhD programme with Victoria Doctoral Scholarships as well as other externally funded scholarships. The application process is managed by our Faculty of Graduate Research and details are available from their website. Applicants who are interested to do research in 5G networks, IoT, wireless networks and future internet technologies, are strongly encouraged to contact Prof Winston Seah.

WiNe Research Areas

WiNe focuses on networking technology that enables the plethora of diverse devices in the Internet to communicate effectively and reliably over wireless communication, including both the wireless access as well as relevant core network technologies to achieve these goals. We study advanced networking protocols and architectures for the fast evolving Internet and 5G mobile telecommunication systems.

  • Wireless Networking Algorithms and Protocols: The research addresses challenging issues with environmentally friendly energy efficient algorithms and protocols for different forms of wireless networks operating in day-to-day as well as extreme conditions. Of particular interest are the MAC, RLC and random access protocols for 5G networks to support the massive number of Internet of Things (IoT) devices, and the use of network function virtualization (NFV) for resource management and optimization.
  • End-to-end Wired/Wireless Network Inter-connectivity: The focus of our research is on algorithms/protocols/techniques for interconnecting wireless access networks to and across the wired backbone. This research will consider the relevant core network technologies needed to provide end-to-end connectivity, focusing on latest technology trends, like Software Defined Networking (SDN), NFV, Mobile Edge Computing, Distributed Mobility Management, as well as the core network aspect of 5G networks which has evolved towards an IP-centric network.
  • Wireless Network Anomaly Detection: The focus of our current research is on novel ways of detecting anomalous behaviour in wireless networks, that goes beyond security. We explore new ways of identifying and detecting anomalous network traffic that may be the precursors to attacks and other malicious activities, utilizing machine learning and deep learning. A key research focus is on establishing trust in the IoT and building a secure trust framework.

Externally Funded Research Projects

  • Current Ongoing
Establishing Trust in Internet of Things using Physically Unclonable Functions and Blockchains, Royal Society of New Zealand, July 2018 Catalyst Seeding: General, Ref. No. 18-VUW-043-CSG, February 1, 2019 – January 31, 2021, NZ$79,750. Collaborating partners are National Chiao Tung University (Taiwan) and Universiti Putra Malaysia (Malaysia).

  • Completed

Software-Defined Green Internet of Things, Huawei NZ, July 1, 2016 - 30 June, 2019, NZ$330,000.

Scalable Traffic Classification in Internet of Things (IoT) for Network Anomaly Detection, ISIF Asia, Internet Operations Research Grants, January 1 - December 31, 2018, US$34,000.

Research Team

Find out more about our Research Team and how to work with them:

Research Publications

Members of the group have produced a number of publications over the years: