Big Data Acquisition Under Failures in FiWi Enhanced Smart Grid

Abstract

With the increasing of monitoring devices and advanced measurement infrastructures, smart grids (SGs) collect large amounts of data every moment, which gives rise to the SG big data. In order to fulfill diverse communication requirements of various energy-related data in SG, it is obviously impractical to rely on a single communication technology, and a hybrid communication architecture of low-latency fiber optic and cost-effective wireless technologies could be a promising solution. Note that, low-latency data acquisition under failures is of particular importance to SG reliability, considering that SGs are vulnerable to various failures. Toward this end, we provide in this paper a hybrid SG communication architecture integrating fiber optic and WiFi-based mesh networks, i.e., fiber-wireless (FiWi) enhanced SG, and study the problem of data acquisition under failures in FiWi enhanced SG. The problem is first formulated as a constrained optimization problem, and then three algorithms are proposed as our solutions, i.e., an optimal enumeration routing algorithm (OERA), a greedy approximation routing algorithm (GARA), and a heuristic greedy routing algorithm (HGRA). Numerical results reveal that both GARA and HGRA can achieve near-optimal solutions to the problem of data acquisition under failures, and have higher computational efficiency compared to our benchmark, i.e., OERA.