This research work presents RDSS, a Resource Area Network (RAN)-based Distributed Storage System. It is designed for operational efficiency. Using the RAN architectural pattern, RDSS works on the block level instead of the file level, which increases system flexibility. RDSS adopts directory model routing, lazy master-slave replication, and content hash verification. It uses a Multiple Token Control (MTC) scheme to provide consistent storage services while reducing response delay. It employs a Node Ranking System (NRS) to optimize node selections in terms of stability, integrity, and workload. SPIN (Simple Process/Protocol Modeling Language (PROMELA) Interpreter) simulation results show that RDSS can significantly suppress data transfer of misbehaving nodes. It yields only a slight deviation in terms of individual load share compared to the random selection scheme. Microbenchmarks show that RDSS retrieves 64KB data within 35ms and updates 64KB data within 40ms. The contribution of RDSS is that it provides reliable storage services while achieving high efficiency.