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Reliable IoT Storage for Sensor Monitoring Applications: Trading off Early Redundancy Injection Costs and Repair Costs

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

  • Xiaobo Zhao
  • ,
  • Daniel Enrique Lucani Rötter
  • Xiaohong Shen, Northwestern Polytechnical University Xian, China
  • Haiyan Wang, Northwestern Polytechnical University Xian, China
  • Juan A. Cabrera, TU Dresden, Germany
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.
Original languageEnglish
Title of host publicationEuropean Wireless 2017 : Proceedings of the 23th European Wireless Conference
PublisherVDE Verlag GmbH
Publication year2017
Publication statusPublished - 2017

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