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Storage Allocation for Camera Sensor Networks using Feedback-based Price Discrimination

Martins, Alexandre LU orcid and Årzén, Karl-Erik LU orcid (2022) p.34-44
Abstract
Camera sensor networks, mainly with surveillance cameras, are growing in size and complexity. Storage space is the prime resource in such systems but current surveillance setups are still very much centralized and limited in resources due to cost and security constraints. Allocating the correct amount of storage to each camera sensor considering their large difference in characteristics and video content is challenging. In this paper we propose a framework using feedback-based price discrimination of storage resources in order to guarantee a uniform quality level of the videos in camera sensor networks, regardless of the specific camera sensor parameters. We designed a lightweight solution using simple video quality metrics, cascade... (More)
Camera sensor networks, mainly with surveillance cameras, are growing in size and complexity. Storage space is the prime resource in such systems but current surveillance setups are still very much centralized and limited in resources due to cost and security constraints. Allocating the correct amount of storage to each camera sensor considering their large difference in characteristics and video content is challenging. In this paper we propose a framework using feedback-based price discrimination of storage resources in order to guarantee a uniform quality level of the videos in camera sensor networks, regardless of the specific camera sensor parameters. We designed a lightweight solution using simple video quality metrics, cascade control and PI (Proportional and Integral) controllers to define the optimal price of resources per camera. (Less)
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author
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publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Storage Allocation for Camera Sensor Networks using Feedback-based Price Discrimination
pages
11 pages
DOI
10.5220/0010858500003118
project
WASP: Wallenberg AI, Autonomous Systems and Software Program at Lund University
language
English
LU publication?
yes
id
079f2023-8865-421b-aa10-24b7881c97dd
date added to LUP
2022-03-03 22:12:49
date last changed
2022-03-18 02:17:30
@inproceedings{079f2023-8865-421b-aa10-24b7881c97dd,
  abstract     = {{Camera sensor networks, mainly with surveillance cameras, are growing in size and complexity. Storage space is the prime resource in such systems but current surveillance setups are still very much centralized and limited in resources due to cost and security constraints. Allocating the correct amount of storage to each camera sensor considering their large difference in characteristics and video content is challenging. In this paper we propose a framework using feedback-based price discrimination of storage resources in order to guarantee a uniform quality level of the videos in camera sensor networks, regardless of the specific camera sensor parameters. We designed a lightweight solution using simple video quality metrics, cascade control and PI (Proportional and Integral) controllers to define the optimal price of resources per camera.}},
  author       = {{Martins, Alexandre and Årzén, Karl-Erik}},
  booktitle    = {{Storage Allocation for Camera Sensor Networks using Feedback-based Price Discrimination}},
  language     = {{eng}},
  month        = {{02}},
  pages        = {{34--44}},
  title        = {{Storage Allocation for Camera Sensor Networks using Feedback-based Price Discrimination}},
  url          = {{http://dx.doi.org/10.5220/0010858500003118}},
  doi          = {{10.5220/0010858500003118}},
  year         = {{2022}},
}