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The maturity of the 5th-Generation (5G) communication technology promotes a new round of industrial revolution and supports the high-quality development of economic society. However, owing to the scarce communication resources, costly labor and complex geographic environment, inspecting and maintaining electrical faults accurately and timely in a remote grid is rather challenging. To solve this problem, we comprehensively consider secure and efficient signal transmissions to construct an automatic grid fault inspection system and formulate a multi-objective optimization problem. Due to its complexity, we decompose it into two sub-problems, propose a b lockchain- e nabled s ecure t ransmission scheme (BEST) and an i mproved m arket m atching (IMM) algorithm, correspondingly. Considering the latency magnitude difference between blockchain verification and intra-domain transmission, the BEST scheme integrates d eep r einforcement learning-based i mproved p roximal policy optimization training algorithm (DRIP) and A *-based b i- o bjective multi-destination o ptimization algorithm (ABOO) to achieve the intra-domain secure transmission. Based on the real city topology and the YouTube video service data statistics, our algorithms can optimize the network performance while guaranteeing the security of signal transmissions.
Ning et al. (Wed,) studied this question.