IoTRepair: Flexible Fault Handling in Diverse IoT Deployments

Michael Norris, Z. Berkay Celik, Prasanna Venkatesh, Shulin Zhao, Patrick Mcdaniel, Anand Sivasubramaniam, Gang Tan

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

IoT devices can be used to complete a wide array of physical tasks, but due to factors such as low computational resources and distributed physical deployment, they are susceptible to a wide array of faulty behaviors. Many devices deployed in homes, vehicles, industrial sites, and hospitals carry a great risk of damage to property, harm to a person, or breach of security if they behave faultily. We propose a general fault handling system named IoTRepair, which shows promising results for effectiveness with limited latency and power overhead in an IoT environment. IoTRepair dynamically organizes and customizes fault-handling techniques to address the unique problems associated with heterogeneous IoT deployments. We evaluate IoTRepair by creating a physical implementation mirroring a typical home environment to motivate the effectiveness of this system. Our evaluation showed that each of our fault-handling functions could be completed within 100 milliseconds after fault identification, which is a fraction of the time that state-of-the-art fault-identification methods take (measured in minutes). The power overhead is equally small, with the computation and device action consuming less than 30 milliwatts. This evaluation shows that IoTRepair not only can be deployed in a physical system, but offers significant benefits at a low overhead.

Original languageEnglish (US)
Article number3532194
JournalACM Transactions on Internet of Things
Volume3
Issue number3
DOIs
StatePublished - Aug 2022

All Science Journal Classification (ASJC) codes

  • Software
  • Information Systems
  • Hardware and Architecture
  • Computer Networks and Communications
  • Computer Science Applications

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