Reliable IoT storage for sensor monitoring applications: Trading off early redundancy injection costs and repair costs

Xiaobo Zhao, Daniel E. Lucani, Xiaohong Shen, Haiyan Wang, Juan A. Cabrera

科研成果: 书/报告/会议事项章节会议稿件同行评审

5 引用 (Scopus)

摘要

Providing reliable storage for sensor monitoring in IoT systems is key to manage nodes unavailability and lack of connectivity between the sensor devices and outside networks. Although reliable distributed storage systems typically assume that new devices are available to cope with disk, node or rack losses, this is not generally the case in monitoring systems. This paper proposes a data protection scheme based on network coding for monitoring networks that considers the cost of repair and the cost of setting up the initial protection for the data. We provide a theoretical characterization of the data protection problem with different operating regimes. We also analyze the mechanisms to trade-off network costs of the initial protection phase and the repair phases. Our numerical results show that a judicious choice between the preparation and repair phase costs can result in a reduction of protection cost as high as four times with respect to a naive selection, e.g., only focused on the repair costs.

源语言英语
主期刊名European Wireless 2017 - 23rd European Wireless Conference
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9783800744268
出版状态已出版 - 2017
活动23rd European Wireless Conference, EW 2017 - Dresden, 德国
期限: 17 5月 201719 5月 2017

出版系列

姓名European Wireless 2017 - 23rd European Wireless Conference

会议

会议23rd European Wireless Conference, EW 2017
国家/地区德国
Dresden
时期17/05/1719/05/17

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