TIIS (한국인터넷정보학회)
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| 한글제목(Korean Title) |
Sensor Density for Full-View Problem in Heterogeneous Deployed Camera Sensor Networks |
| 영문제목(English Title) |
Sensor Density for Full-View Problem in Heterogeneous Deployed Camera Sensor Networks |
| 저자(Author) |
Zhimin Liu
Guiyan Jiang
|
| 원문수록처(Citation) |
VOL 15 NO. 12 PP. 4492 ~ 4507 (2021. 12) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
In camera sensor networks (CSNs), in order to better identify the point, full-view problem requires capture any facing direction of target (point or intruder), and its coverage prediction and sensor density issues are more complicated. At present, a lot of research supposes that a large number of homogeneous camera sensors are randomly distributed in a bounded square monitoring region to obtain full-view rate which is close to 1. In this paper, we deduce the sensor density prediction model in heterogeneous deployed CSNs with arbitrary full-view rate. Aiming to reduce the influence of boundary effect, we introduce the concepts of expanded monitoring region and maximum detection area. Besides, in order to verify the performance of the proposed sensor density model, we carried out different scenarios in simulation experiments to verify the theoretical results. The simulation results indicate that the proposed model can effectively predict the sensor density with arbitrary full-view rate. |
| 키워드(Keyword) |
Camera sensor networks
full view
sensor density
sensor prediction
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| 파일첨부 |
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