Wang, Niannian, Wang, Ye, Gu, Shushi, Zhang, Qinyu, and Xiang, Wei (2019) Adaptive data storage system for mobile satellite-terrestrial IoT. In: Proceedings of the International Conference on Communications in China. pp. 106-111. From: ICCC 2019: IEEE International Conference Communications in China, 11-13 August 2019, Changchun, China.

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Abstract

We address the problems of the reliable data storage and the low power data repair for the mobile satellite-terrestrial Internet of Things (IoT) scenario. Firstly, an adaptive satellite-terrestrial IoT distributed storage system consisting of one satellite and many sensor nodes is established for massive contents storing and sharing. Considering the nodes leaving from the satellite coverage subject to the different random processes, to maintain the stability of the system, a novel redundancy fault-tolerant scheme based on Adaptive Minimum Storage Regenerating (AMSR) code is proposed where threshold-based repair process is initiated after a threshold number of nodes have been lost due to the departure of nodes and power exhausted. Furthermore, we derive the analytical expressions of the average communication power costs of node downloading, repairing and monitoring as the functions of repair threshold. We also give the optimal repair threshold for minimizing the overall average communication power cost. Simulation results verify that our AMSR storage system has lower overall average communication power cost than existing MSR and MDS storage systems in the satellite-terrestrial IoT networks.

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