Research

Venture Networks, in collaboration with the Wireless Networks Research Group (WiNe) at Victoria University of Wellington, is committed to enhancing the performance and sustainability of wireless broadband networks. They have made notable contributions to the field through research publications.

In their first publication, "ElasticWISP: Energy-Proportional WISP Networks," the authors (D. Cameron, A. Valera, and W. K. G. Seah) explore how to improve the energy efficiency of Wireless Internet Service Provider (WISP) networks. They present ElasticWISP, a framework that manages backhaul radio resources based on network traffic demand, resulting in more energy-proportional networks. This research was presented at the 2020 IEEE/IFIP Network Operations and Management Symposium (NOMS 2020) in Budapest, Hungary.

Reference: D. Cameron, A. Valera and W. K. G. Seah, "ElasticWISP: Energy-Proportional WISP Networks," NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium, Budapest, Hungary, 2020, pp. 1-9, doi: 10.1109/NOMS47738.2020.9110384.

The second publication, "Humans Learning from Machines: Data Science Meets Network Management," focuses on the intersection of data science and network management. The authors (M. Odiathevar, D. Cameron, W. K. G. Seah, M. Frean, and A. Valera) explore how machine learning techniques can be applied to network management tasks, such as performance monitoring, troubleshooting, and capacity planning. The research was presented at the 2021 International Conference on COMmunication Systems & NETworkS (COMSNETS) in Bangalore, India.

Reference: M. Odiathevar, D. Cameron, W. K. G. Seah, M. Frean and A. Valera, "Humans Learning from Machines: Data Science Meets Network Management," 2021 International Conference on COMmunication Systems & NETworkS (COMSNETS), Bangalore, India, 2021, pp. 421-428, doi: 10.1109/COMSNETS51098.2021.9352890.