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RelIoT: Reliability Simulator for IoT Networks

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Internet of Things - ICIOT 2020 (ICIOT 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12405))

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Abstract

The next era of the Internet of Things (IoT) calls for a large-scale deployment of edge devices to meet the growing demands of applications such as smart cities, smart grids, and environmental monitoring. From low-power sensors to multi-core platforms, IoT devices are prone to failures due to the reliability degradation of electronic circuits, batteries, and other components. As the network of heterogeneous devices expands, maintenance costs due to system failures become unmanageable, making reliability a major concern. Prior work has shown the importance of automated reliability management for meeting lifetime goals for individual devices. However, state-of-the-art network simulators do not provide reliability modeling capabilities for IoT networks.

In this paper, we present an integrated reliability framework for IoT networks based on the ns-3 simulator. The lack of such tools restrained researchers from doing reliability-oriented analysis, exploration, and predictions early in the design cycle. Our contribution facilitates this, which can lead to the design of new network reliability management strategies. The proposed framework, besides reliability, incorporates three other interrelated models - power, performance, and temperature - which are required to model reliability. We validate our framework on a mesh network with ten heterogeneous devices, of three different types. We demonstrate that the models accurately capture the power, temperature, and reliability dynamics of real networks. We finally simulate and analyze two examples of energy-optimized and reliability-optimized network configurations to show how the framework offers an opportunity for researchers to explore trade-offs between energy and reliability in IoT networks.

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Notes

  1. 1.

    RelIoT is available at: https://github.com/UCSD-SEELab/RelIoT.

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Acknowledgements

This work was supported in part by SRC task #2805.001, NSF grants #1911095, #1826967, #1730158 and #1527034, and by KACST.

Author information

Authors and Affiliations

  1. University of California San Diego, La Jolla, USA

    Kazim Ergun, Xiaofan Yu & Tajana Rosing

  2. Technical University of Munich, Munich, Germany

    Nitish Nagesh

  3. Arm Research, San Jose, USA

    Ludmila Cherkasova

  4. Intel Corporation, Hillsboro, USA

    Pietro Mercati & Raid Ayoub

Authors
  1. Kazim Ergun
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  2. Xiaofan Yu
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  3. Nitish Nagesh
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  4. Ludmila Cherkasova
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  5. Pietro Mercati
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  6. Raid Ayoub
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  7. Tajana Rosing
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Corresponding author

Correspondence to Kazim Ergun .

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Editors and Affiliations

  1. North China University of Technology, Beijing, China

    Wei Song

  2. Louisiana State University, Baton Rouge, LA, USA

    Kisung Lee

  3. Georgia State University, Atlanta, GA, USA

    Zhisheng Yan

  4. Kingdee International Software Group Co., Ltd., Shenzhen, China

    Liang-Jie Zhang

  5. Kingdee International Software Group Co., Ltd., Hong Kong, China

    Huan Chen

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Ergun, K. et al. (2020). RelIoT: Reliability Simulator for IoT Networks. In: Song, W., Lee, K., Yan, Z., Zhang, LJ., Chen, H. (eds) Internet of Things - ICIOT 2020. ICIOT 2020. Lecture Notes in Computer Science(), vol 12405. Springer, Cham. https://doi.org/10.1007/978-3-030-59615-6_5

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  • DOI: https://doi.org/10.1007/978-3-030-59615-6_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-59614-9

  • Online ISBN: 978-3-030-59615-6

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