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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

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 - 23rd European Wireless Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9783800744268
StatePublished - 2017
Event23rd European Wireless Conference, EW 2017 - Dresden, Germany
Duration: 17 May 201719 May 2017

Publication series

NameEuropean Wireless 2017 - 23rd European Wireless Conference

Conference

Conference23rd European Wireless Conference, EW 2017
Country/TerritoryGermany
CityDresden
Period17/05/1719/05/17

Keywords

  • Cost tradeoff
  • IoT monitoring networks
  • Network coding
  • Reliable storage

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