Multi-cluster Dynamic Load Balancing in vSDN-enabled 5G Heterogeneous Network for Smart Cyber-Physical Systems
Deborsi Basu, Abhishek Jain, Addanki Sankara Rao, Uttam Ghosh, Raja Datta · 2022
In recent years, communication networks have witnessed a massive surge in network traffic due to the impact of the new normal situation in which a systematic paradigm shift has occurred from offline media to online platforms. The 5G and beyond 5G networks will encounter even more service load demands in the near future. These events trigger the chances of Load-Changing attacks (GridLock attacks or BlackIoT attacks, other Cyber-Physical attacks, etc.) inside the modern Cyber-Physical Systems (CPS). Those fuel system-wide disruptions & are extensively prone to critical network issues like service availability, integrity, confidentiality or maybe a combination of these factors. vSDN (virtualized Software Defined Networking) will play a key role in managing those load turbulence and provide a sustainable communication network for smart CPSs. Considering these key facts in this work, we have developed a dynamic Control plane load balancing architecture in a vSDN-enabled dense heterogeneous network. SDN and NFV (Software Defined Network and Network Function Virtualization) support the C/U (Control/User) plane split that opens the scope of small scale highly dense base station deployments under macro base stations. Our integer linear optimization (ILP - Integer Linear Programming) model dynamically allocates the small base stations to the respective macro cell to reduce the service load on the respective macro controller. From our proposed approach and results, it can be strongly concluded that our model provides significant load reduction to provide a stable networking environment for smart CPS.