Opportunistic Hybrid Network Coding (OHNC) method and QOS metrics modeling for Smart Grid Wireless Neighborhood Area Networks

Abstract

Designing a useful data collection scheme in Smart Grid Neighborhood Area Network (Smart Grid NAN), which is the most critical part in Smart Grid communication, has drawn wide attention of researchers in recent years. However, there are few studies in data gathering method to fulfill the strict requirements of Smart Grid services. In this dissertation, we first propose an innovative Quality of Service (QoS) model for wireless network in Neighborhood Area Network based on exploring the nature features of Smart Grid applications. We have chosen reliability and latency requirements as the most important criteria and implemented the S-shaped curve model for performance evaluations of any candidate communication schemes. Comparing with other existing QoS models, our model is easy to use and help to reduce the time and cost. We then suggest Opportunistic Hybrid Network Coding (OHNC) method for data gathering in wireless Smart Grid NAN context. Network Coding has been proved reliable and latency-beneficial, especially in wireless environment. Based on simulation, the OHNC shows that Network Coding method can fulfill the QoS requirements of current and upcoming Smart Grid applications.