Visible to the public Biblio

Filters: Author is Wang, F.  [Clear All Filters]
2019-06-17
Shif, L., Wang, F., Lung, C..  2018.  Improvement of security and scalability for IoT network using SD-VPN. NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium. :1–5.

The growing interest in the smart device/home/city has resulted in increasing popularity of Internet of Things (IoT) deployment. However, due to the open and heterogeneous nature of IoT networks, there are various challenges to deploy an IoT network, among which security and scalability are the top two to be addressed. To improve the security and scalability for IoT networks, we propose a Software-Defined Virtual Private Network (SD-VPN) solution, in which each IoT application is allocated with its own overlay VPN. The VPN tunnels used in this paper are VxLAN based tunnels and we propose to use the SDN controller to push the flow table of each VPN to the related OpenvSwitch via the OpenFlow protocol. The SD-VPN solution can improve the security of an IoT network by separating the VPN traffic and utilizing service chaining. Meanwhile, it also improves the scalability by its overlay VPN nature and the VxLAN technology.

2018-11-19
Yang, M., Wang, A., Sun, G., Liang, S., Zhang, J., Wang, F..  2017.  Signal Distribution Optimization for Cabin Visible Light Communications by Using Weighted Search Bat Algorithm. 2017 3rd IEEE International Conference on Computer and Communications (ICCC). :1025–1030.
With increasing demand for travelling, high-quality network service is important to people in vehicle cabins. Visible light communication (VLC) system is more appropriate than wireless local area network considering the security, communication speed, and narrow shape of the cabin. However, VLC exhibits technical limitations, such as uneven distribution of optical signals. In this regard, we propose a novel weight search bat algorithm (WSBA) to calculate a set of optimal power adjustment factors to reduce fluctuation in signal distributions. Simulation results show that the fairness of signal distribution in the cabin optimized by WSBA is better than that of the non-optimized signal distribution. Moreover, the coverage rate of WSBA is higher than that of genetic algorithm and particle swarm optimization.