research-article

Adaptive Monitor Placement for Near Real-time Node Failure Localisation in Wireless Sensor Networks

Authors:

Pamela Bezerra,

Julie A. McCann,

Weiren YuAuthors Info & Claims

ACM Transactions on Sensor Networks (TOSN), Volume 18, Issue 1

Article No.: 2, Pages 1 - 41

https://doi.org/10.1145/3466639

Published: 05 October 2021 Publication History

Abstract

As sensor-based networks become more prevalent, scaling to unmanageable numbers or deployed in difficult to reach areas, real-time failure localisation is becoming essential for continued operation. Network tomography, a system and application-independent approach, has been successful in localising complex failures (i.e., observable by end-to-end global analysis) in traditional networks.

Applying network tomography to wireless sensor networks (WSNs), however, is challenging. First, WSN topology changes due to environmental interactions (e.g., interference). Additionally, the selection of devices for running network monitoring processes (monitors) is an NP-hard problem. Monitors observe end-to-end in-network properties to identify failures, with their placement impacting the number of identifiable failures. Since monitoring consumes more in-node resources, it is essential to minimise their number while maintaining network tomography’s effectiveness. Unfortunately, state-of-the-art solutions solve this optimisation problem using time-consuming greedy heuristics.

In this article, we propose two solutions for efficiently applying Network Tomography in WSNs: a graph compression scheme, enabling faster monitor placement by reducing the number of edges in the network, and an adaptive monitor placement algorithm for recovering the monitor placement given topology changes. The experiments show that our solution is at least 1,000× faster than the state-of-the-art approaches and efficiently copes with topology variations in large-scale WSNs.

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Cited By

Liu YZhou HLi ZMei LCai DHu J(2023)Sensor Fault Diagnosis of Air Conditioning System Based on Multi-dimension Clustering Algorithm2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE)10.1109/AIKIIE60097.2023.10390401(1-4)Online publication date: 2-Nov-2023
https://doi.org/10.1109/AIKIIE60097.2023.10390401
Kumar Anguraj D(2022)A Hybrid Wireless Sensor Network Protocol for Time-Sensitive Emergency OperationsIRO Journal on Sustainable Wireless Systems10.36548/jsws.2022.1.0064:1(55-70)Online publication date: 6-Jun-2022
https://doi.org/10.36548/jsws.2022.1.006
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https://doi.org/10.1155/2022/3216727
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Index Terms

Adaptive Monitor Placement for Near Real-time Node Failure Localisation in Wireless Sensor Networks
1. Computer systems organization
  1. Embedded and cyber-physical systems
    1. Sensor networks
2. Networks
  1. Network properties
    1. Network reliability
  2. Network services
    1. Network monitoring

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cover image ACM Transactions on Sensor Networks

ACM Transactions on Sensor Networks Volume 18, Issue 1

February 2022

434 pages

ISSN:1550-4859

EISSN:1550-4867

DOI:10.1145/3484935

Editor:
Yunhao Liu
Tsinghua University, China

Issue’s Table of Contents

Copyright © 2021 Association for Computing Machinery.

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ACM Journals for the Design of Smart and Connected Systems

Publication History

Published: 05 October 2021

Accepted: 01 May 2021

Revised: 01 April 2021

Received: 01 December 2020

Published in TOSN Volume 18, Issue 1

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Natural Science Foundation of Jiangsu Province

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Cited By

Liu YZhou HLi ZMei LCai DHu J(2023)Sensor Fault Diagnosis of Air Conditioning System Based on Multi-dimension Clustering Algorithm2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE)10.1109/AIKIIE60097.2023.10390401(1-4)Online publication date: 2-Nov-2023
https://doi.org/10.1109/AIKIIE60097.2023.10390401
Kumar Anguraj D(2022)A Hybrid Wireless Sensor Network Protocol for Time-Sensitive Emergency OperationsIRO Journal on Sustainable Wireless Systems10.36548/jsws.2022.1.0064:1(55-70)Online publication date: 6-Jun-2022
https://doi.org/10.36548/jsws.2022.1.006
Zhao Y(2022)Clustered Wireless Sensor Network Assisted the Design of Intelligent Art SystemJournal of Sensors10.1155/2022/32167272022(1-11)Online publication date: 10-Jan-2022
https://doi.org/10.1155/2022/3216727
Guo XGao TDong CCao KNan YYu F(2022)A Real-time Network Monitoring Technique for Wireless Sensor Networks2022 IEEE 12th International Conference on Electronics Information and Emergency Communication (ICEIEC)10.1109/ICEIEC54567.2022.9835059(32-36)Online publication date: 15-Jul-2022
https://doi.org/10.1109/ICEIEC54567.2022.9835059

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