research-article

Idea: A System for Efficient Failure Management in Smart IoT Environments

Authors:

Palanivel A. Kodeswaran,

Mudhakar SrivatsaAuthors Info & Claims

MobiSys '16: Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services

Pages 43 - 56

https://doi.org/10.1145/2906388.2906406

Published: 20 June 2016 Publication History

Abstract

IoT enabled smart environments are expected to proliferate significantly in the near future, particularly in the context of monitoring services for wellness living, patient healthcare and elderly care. Timely maintenance of failed sensors is of critical importance in such deployments to ensure minimal disruption to monitoring services. However, maintenance of large and geographically spread deployments can be a significant challenge. We present Idea that significantly increases the vtime-before-repair for a smart home deployment, thereby reducing the maintenance overhead. Specifically, our approach leverages the facts that (a) there is inherent sensor redundancy when combinations of sensors monitor activities of daily living (ADLs) in smart environments, and (b) the impact of each sensor failure depends on the activities being monitored and the functional redundancy afforded by rest of the heterogeneous sensors available for detecting the activities. Consequently, Idea identifies homes that need to be fixed based on expected degradation in ADL detection performance, and optimizes maintenance scheduling accordingly. We demonstrate that our approach leads to 3--40 times fewer maintenance personnel than a scheme in which failed sensors are fixed without considering their impact.

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https://dl.acm.org/doi/10.1145/3643833.3656132
Wang GIvanov NChen BWang QNguyen TYan Q(2023)Graph Learning for Interactive Threat Detection in Heterogeneous Smart Home Rule DataProceedings of the ACM on Management of Data10.1145/35889561:1(1-27)Online publication date: 30-May-2023
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Wang JLi ZSun MYuan BLui J(2023)IoT Anomaly Detection Via Device Interaction Graph2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)10.1109/DSN58367.2023.00053(494-507)Online publication date: Jun-2023
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Idea: A System for Efficient Failure Management in Smart IoT Environments

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cover image ACM Conferences

MobiSys '16: Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services

June 2016

440 pages

ISBN:9781450342698

DOI:10.1145/2906388

General Chairs:
Rajesh Balan
Singapore Management University
,
Archan Misra
Singapore Management University
,
Program Chairs:
Sharad Agarwal
Microsoft
,
Cecilia Mascolo
University of Cambridge

Copyright © 2016 ACM.

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Published: 20 June 2016

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MobiSys'16: The 14th Annual International Conference on Mobile Systems, Applications, and Services

June 26 - 30, 2016

Singapore, Singapore

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MobiSys '16 Paper Acceptance Rate 31 of 197 submissions, 16%;

Overall Acceptance Rate 274 of 1,679 submissions, 16%

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Cited By

Sunar SShirani PMajumdar SBrown JKim YKim JKoushanfar FRasmussen K(2024)On Continuously Verifying Device-level Functional Integrity by Monitoring Correlated Smart Home DevicesProceedings of the 17th ACM Conference on Security and Privacy in Wireless and Mobile Networks10.1145/3643833.3656132(219-230)Online publication date: 27-May-2024
https://dl.acm.org/doi/10.1145/3643833.3656132
Wang GIvanov NChen BWang QNguyen TYan Q(2023)Graph Learning for Interactive Threat Detection in Heterogeneous Smart Home Rule DataProceedings of the ACM on Management of Data10.1145/35889561:1(1-27)Online publication date: 30-May-2023
https://dl.acm.org/doi/10.1145/3588956
Wang JLi ZSun MYuan BLui J(2023)IoT Anomaly Detection Via Device Interaction Graph2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)10.1109/DSN58367.2023.00053(494-507)Online publication date: Jun-2023
https://doi.org/10.1109/DSN58367.2023.00053
Guittoum AAïssaoui FBolle SBoyer FDe Palma N(2023)Solving the IoT Cascading Failure Dilemma Using a Semantic Multi-agent SystemThe Semantic Web – ISWC 202310.1007/978-3-031-47243-5_18(325-344)Online publication date: 27-Oct-2023
https://doi.org/10.1007/978-3-031-47243-5_18
Correia RSousa CCarneiro D(2023)IoT Data Ness: From Streaming to Added ValueHybrid Intelligent Systems10.1007/978-3-031-27409-1_64(703-713)Online publication date: 25-May-2023
https://doi.org/10.1007/978-3-031-27409-1_64
Jung HKim WSeo HLee YGummeson JLee SGao JXing G(2022)Simultaneous Sporadic Sensor Anomaly Detection for Smart HomesProceedings of the 20th ACM Conference on Embedded Networked Sensor Systems10.1145/3560905.3567767(1061-1066)Online publication date: 6-Nov-2022
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Norris MCelik ZVenkatesh PZhao SMcDaniel PSivasubramaniam ATan G(2022)IoTRepair: Flexible Fault Handling in Diverse IoT DeploymentsACM Transactions on Internet of Things10.1145/35321943:3(1-33)Online publication date: 19-Jul-2022
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Hirmer PHirmer P(2022)Model Based Approaches to the Internet of ThingsModel-Based Approaches to the Internet of Things10.1007/978-3-031-18884-8_5(31-117)Online publication date: 19-Sep-2022
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Olorunnife KLee KKua J(2021)Automatic Failure Recovery for Container-Based IoT Edge ApplicationsElectronics10.3390/electronics1023304710:23(3047)Online publication date: 6-Dec-2021
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Lee GKim BSong SKim CKim JKim H(2021)Precise Correlation Extraction for IoT Fault Detection With Concurrent ActivitiesACM Transactions on Embedded Computing Systems10.1145/347702520:5s(1-21)Online publication date: 22-Sep-2021
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