Edge Computing Enabled Resilient Wireless Network Virtualization for Smart City Applications

摘要

With the successful deployment of wireless networks such as cellular and Wi-Fi networks as well as a development of lightweight hand-held devices, wireless communication became the fastest growing sector in communication industry and wireless networks have been part of every business. Over 50 billion devices are expected to be connected to the Internet by 2020. Because of exponentially increasing number of connected devices, we have Internet of Things (IoT) enabled applications that offer socioeconomic benefits. Different smart city applications have different operational requirements and constraints. For instance, smart city applications enabled transportation cyber-physical system needs lowest latency and high data rate, smart city applications enabled financial systems or banks need high security to support mobile banking, smart city applications enabled manufacturing systems to need high resiliency to combat fault tolerance and cyber-attacks,smart city applications enabled cyber-physical power system needs the least latency and highest resiliency to avoid power outage caused by faults or cyber-attacks. This thesis proposes wireless network virtualization to create different virtual wireless networks (VWNs) through mobile virtual network operators (MVNOs) to support different smart city applications enabled systems with diverse requirements and resiliency on smart city. Application of edge computing enabled resilient wireless network virtualization in video surveillance system shows in this thesis. Wireless virtualization is regarded as an emerging paradigm to enhance radio frequency (RF) spectrum utilization, provide better coverage, increase network capacity, enhance energy efficiency and provide security. In order to prevent double-spending (allocating same frequency to multiple network providers)of wireless resources, this thesis has proposed to use blockchain based approach which provides quality-of-service to users. Furthermore, smart city applications are expected to generate a massive amount of data (aka big data), this study considers edge computing to process big data when individual devices have limited computing/processing and storage capabilities. Moreover, network segmentation through VWNs provides the security and enhances the network performance. Performance of the proposed approach is evaluated using numerical results obtained from simulation.