DocumentCode
693553
Title
Poster abstract: Connected wireless camera network deployment with visibility coverage
Author
Hua Huang ; Chien-Chun Ni ; Xiaomeng Ban ; Jie Gao ; Shan Lin
Author_Institution
Dept. of Comput. & Inf. Sci., Temple Univ., Temple, TX, USA
fYear
2013
fDate
8-11 April 2013
Firstpage
321
Lastpage
322
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.
Keywords
cameras; optical sensors; wireless sensor networks; connected visibility region planning algorithm; connected visibility region tracking algorithm; dynamic deployment; floor plan; optical sensor nodes; sensing coverage; static deployment; wireless camera networks; Algorithm design and analysis; Art; Cameras; Educational institutions; Sensors; Wireless communication; Wireless sensor networks; Camera networks; Connectivity; Sensing Coverage; Sensor Networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Processing in Sensor Networks (IPSN), 2013 ACM/IEEE International Conference on
Conference_Location
Philadelphia, PA
Type
conf
DOI
10.1109/IPSN.2013.6917596
Filename
6917596
Link To Document