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Updated: May 26, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

The coverage problem in video-based wireless sensor networks: a survey.

Daniel G Costa1, Luiz Affonso Guedes

  • 1DCA-CT-UFRN, Campus Universitário, Lagoa Nova, Universidade Federal do Rio Grande do Norte, 59072-970 Natal RN, Brazil. danielgcosta@uefs.br

Sensors (Basel, Switzerland)
|December 14, 2011
PubMed
Summary
This summary is machine-generated.

This paper surveys coverage strategies for video-based wireless sensor networks. It highlights challenges and solutions for optimizing visual data collection in these specialized networks.

Keywords:
coverage metricsdirectional sensingsensor deploymentthe coverage problemvideo-based wireless sensor networks

Related Experiment Videos

Last Updated: May 26, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Area of Science:

  • Computer Science
  • Electrical Engineering

Background:

  • Wireless sensor networks (WSNs) utilize numerous low-cost devices for data collection.
  • Equipping WSN nodes with cameras enables visual data retrieval for novel applications.
  • Traditional WSN approaches are often inefficient for video-based communication.

Purpose of the Study:

  • To survey the state-of-the-art in coverage strategies for video-based WSNs.
  • To identify and discuss algorithms and computational solutions for this specialized issue.
  • To explore open research areas in coverage for video-based WSNs.

Main Methods:

  • Literature review of existing research on WSN coverage.
  • Analysis of strategies and algorithms specifically for visual sensor networks.
  • Discussion of computational solutions and their feasibility.

Main Results:

  • Identified key challenges in achieving effective coverage with video sensors.
  • Cataloged various strategies and algorithms addressing the coverage problem.
  • Highlighted the need for specialized solutions beyond traditional WSN methods.

Conclusions:

  • Coverage is a critical and complex issue in video-based WSNs.
  • Novel algorithms and computational approaches are necessary for efficient visual data collection.
  • Further research is needed to advance coverage techniques in this domain.