research-article

Coverage algorithms for visual sensor networks

Authors:

Vikram P. Munishwar,

Nael B. Abu-GhazalehAuthors Info & Claims

ACM Transactions on Sensor Networks (TOSN), Volume 9, Issue 4

Article No.: 45, Pages 1 - 36

https://doi.org/10.1145/2489253.2489262

Published: 23 July 2013 Publication History

Abstract

Visual sensor networks (VSNs) are becoming increasingly popular in a number of application domains. A distinguishing characteristic of VSNs is to self-configure to minimize the need for operator control and to improve scalability. One of the areas of self-configuration is camera coverage control that is, how should cameras adjust their field-of-views to cover maximum targets? This is an NP-hard problem. We show that the existing heuristics have a number of weaknesses that influence both coverage and overhead. Therefore, we first propose a computationally efficient centralized heuristic that provides near-optimal coverage for small-scale networks. However, it requires significant communication and computation overhead, making it unsuitable for large-scale networks. Thus, we develop a distributed algorithm that outperforms the existing distributed algorithm with lower communication overhead, at the cost of coverage accuracy. We show that the proposed heuristics guarantee to cover at least half of the targets covered by the optimal solution. Finally, to gain benefits of both centralized and distributed algorithms, we propose a hierarchical algorithm where cameras are decomposed into neighborhoods that coordinate their coverage using an elected local coordinator. We observe that the hierarchical algorithm provides scalable near-optimal coverage with networking cost significantly less than that of centralized and distributed solutions.

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https://doi.org/10.1109/TNSM.2022.3190634
Faga YAbdou WDubois J(2022)An Optimised Indoor Deployment of Visual Sensor Networks2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)10.1109/SITIS57111.2022.00104(479-485)Online publication date: Oct-2022
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Coverage algorithms for visual sensor networks

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cover image ACM Transactions on Sensor Networks

ACM Transactions on Sensor Networks Volume 9, Issue 4

July 2013

523 pages

ISSN:1550-4859

EISSN:1550-4867

DOI:10.1145/2489253

Issue’s Table of Contents

Copyright © 2013 ACM.

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Association for Computing Machinery

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ACM Journals for the Design of Smart and Connected Systems

Publication History

Published: 23 July 2013

Accepted: 01 September 2012

Revised: 01 May 2012

Received: 01 October 2011

Published in TOSN Volume 9, Issue 4

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Cited By

Gemmi GLo Cigno RMaccari L(2022)On Cost-Effective, Reliable Coverage for LoS Communications in Urban AreasIEEE Transactions on Network and Service Management10.1109/TNSM.2022.319063419:3(2767-2779)Online publication date: Sep-2022
https://doi.org/10.1109/TNSM.2022.3190634
Faga YAbdou WDubois J(2022)An Optimised Indoor Deployment of Visual Sensor Networks2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)10.1109/SITIS57111.2022.00104(479-485)Online publication date: Oct-2022
https://doi.org/10.1109/SITIS57111.2022.00104
Papaioannou SKolios PTheocharides TPanayiotou CPolycarpou M(2022)UAV-based Receding Horizon Control for 3D Inspection Planning2022 International Conference on Unmanned Aircraft Systems (ICUAS)10.1109/ICUAS54217.2022.9836051(1121-1130)Online publication date: 21-Jun-2022
https://doi.org/10.1109/ICUAS54217.2022.9836051
Kumar ANgọc Mai NGuo SHan L(2022)Entanglement inspired approach for determining the preeminent arrangement of static cameras in a multi-view computer vision systemThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-022-02497-z39:7(2847-2863)Online publication date: 7-May-2022
https://dl.acm.org/doi/10.1007/s00371-022-02497-z
Afroze SRahman A(2021)A Target-Oriented Conflict Graph-based Approach for the Coverage Problem in Directional Sensor NetworksProceedings of the 8th International Conference on Networking, Systems and Security10.1145/3491371.3491376(1-12)Online publication date: 21-Dec-2021
https://dl.acm.org/doi/10.1145/3491371.3491376
Ali AHassanein H(2021)Optimal Placement of Camera Wireless Sensors in GreenhousesICC 2021 - IEEE International Conference on Communications10.1109/ICC42927.2021.9500727(1-6)Online publication date: Jun-2021
https://doi.org/10.1109/ICC42927.2021.9500727
Costa DPeixoto J(2021)On the mathematical modelling of visual sensors when computing coverage metrics in camera-based sensing applications2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA)10.1109/ICAACCA51523.2021.9465185(1-6)Online publication date: 22-Mar-2021
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Kritter JBrévilliers MLepagnot JIdoumghar L(2021)On the computational cost of the set cover approach for the optimal camera placement problem and possible set-cover-inspired trade-offs for surveillance infrastructure designRAIRO - Operations Research10.1051/ro/202109255:4(2069-2091)Online publication date: 8-Jul-2021
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Jiang FZhang XChen XFang Y(2020)Distributed Optimization of Visual Sensor Networks for Coverage of a Large-Scale 3-D SceneIEEE/ASME Transactions on Mechatronics10.1109/TMECH.2020.299357325:6(2777-2788)Online publication date: Dec-2020
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Jesus TCosta DPortugal PVasques FAguiar A(2020)Modelling Coverage Failures Caused by Mobile Obstacles for the Selection of Faultless Visual Nodes in Wireless Sensor NetworksIEEE Access10.1109/ACCESS.2020.29771738(41537-41550)Online publication date: 2020
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