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Poster abstract: Connected wireless camera network deployment with visibility coverage

  • Hua Huang
  • , Chien Chun Ni
  • , Xiaomeng Ban
  • , Jie Gao
  • , Shan Lin
  • Temple University
  • Stony Brook University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

First responder applications often require safety surveillance using wireless camera networks [1]. To ensure visual sensing coverage, it is crucial to place optical sensor nodes at proper locations. Under the scenario of energy constrained wireless camera deployment, the issue of communication cost should also be considered. Previous camera deployment research (e.g Art Gallery Problem) mainly concerned sensing coverage. One well-known solution for the art gallery problem is to triangulate the objective polygon and then select vertices to ensure full coverage. However, deploying cameras only in the vertices of polygon may induce inefficiency both in number of necessary cameras and overall communication cost. To reduce the cost, we propose two deployment algorithms: 1) connected visibility region planning algorithm for static deployment given the floor plan is known, and 2) connected visibility region tracking algorithm for the dynamic deployment during the run time. In extensive simulations with real floor plans, our algorithms outperform previous solutions significantly.

Original languageEnglish
Title of host publicationIPSN 2013 - Proceedings of the 12th International Conference on Information Processing in Sensor Networks, Part of CPSWeek 2013
Pages321-322
Number of pages2
DOIs
StatePublished - 2013
Event12th International Conference on Information Processing in Sensor Networks, IPSN 2013 - Part of CPSWeek 2013 - Philadelphia, PA, United States
Duration: Apr 8 2013Apr 11 2013

Publication series

NameIPSN 2013 - Proceedings of the 12th International Conference on Information Processing in Sensor Networks, Part of CPSWeek 2013

Conference

Conference12th International Conference on Information Processing in Sensor Networks, IPSN 2013 - Part of CPSWeek 2013
Country/TerritoryUnited States
CityPhiladelphia, PA
Period04/8/1304/11/13

Keywords

  • Camera networks
  • Connectivity
  • Sensing coverage
  • Sensor networks

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