Smart Wireless Video Sensor Network For Fire Alarm
- doi: 10.1109/WICOM.2010.5601145
-
title: Smart Wireless Video Sensor Network for Fire
Alarm
- publisher: IEEE
- isbn: 978-1-4244-3709-2
- issn: 2161-9654
- partnum: 10EX2705
- rank: 3593
- access_type: LOCKED
- content_type: Conferences
-
abstract: Smart Wireless Video Sensor Network (SWVSN)
provides a new approach for fire detection and alarm. Compare with
traditional approach, the system based on SWVSN proposed in this paper
has features of smart event-oriented data processing, convenient
arrangement, flexible network organizing. The system consists of three
layers including camera node layer, base station layer and control
layer. Due to using lower energy consumption CMOS image sensors, higher
energy-efficient DSP processor and wireless communication modules
compatible with the 802.15.4 protocol, SWVSN enables in-network image
processing to reduce communication requirements while still consuming
relatively lower power cost. Experimental results indicate that it can
achieve the task of fire detection and alarm successfully.
- article_number: 5601145
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5601145
-
html_url:
https://ieeexplore.ieee.org/document/5601145/
-
abstract_url:
https://ieeexplore.ieee.org/document/5601145/
-
publication_title: 2010 6th International Conference on
Wireless Communications Networking and Mobile Computing (WiCOM)
- conference_location: Chengdu, China
- conference_dates: 23-25 Sept. 2010
- publication_number: 5598557
- is_number: 5600089
- publication_year: 2010
- publication_date: 23-25 Sept. 2010
- start_page: 1
- end_page: 4
- citing_paper_count: 6
- citing_patent_count: 0
- download_count: 451
- insert_date: 20101014
-
index_terms:
-
ieee_terms:
- Fires
- Cameras
- Wireless sensor networks
- Image color analysis
- Wireless communication
- Software
- Data processing
-
dynamic_index_terms:
- Sensor Networks
- Fire Alarm
- Low Cost
- Data Processing
- Energy Consumption
- Energy Expenditure
- Base Station
- Image Sensor
- Camera Sensor
- Fire Detection
- Center For Control
- Power Consumption
- Object Detection
- Wireless Networks
- Background Subtraction
- System Architecture
- Design Software
- Packaging Design
- Event Detection
- Wireless Sensor
- Combustion Process
- Burning Process
- Saturation Value
- Wireless Sensor Networks
- Color Model
- Color System
- Remote Center
- Remote Control Center
- Communication Distance
-
isbn_formats:
-
format: CD,
value: 978-1-4244-3709-2,
isbnType: New-2005
-
format: Print ISBN,
value: 978-1-4244-3708-5,
isbnType: New-2005
-
authors:
-
Author Name: Qiulin Li
Affiliation: School of Optoelectronics, Beijing
Institute of Technology, Beijing, China
Author URL:
https://ieeexplore.ieee.org/author/37596482800
ID: 37596482800
Order: 1
Author Affiliations:
-
School of Optoelectronics, Beijing Institute of Technology,
Beijing, China
-
Author Name: Qun Hao
Affiliation: School of Optoelectronics, Beijing
Institute of Technology, Beijing, China
Author URL:
https://ieeexplore.ieee.org/author/37596328500
ID: 37596328500
Order: 2
Author Affiliations:
-
School of Optoelectronics, Beijing Institute of Technology,
Beijing, China
-
Author Name: Kai Zhang
Affiliation: School of Optoelectronics, Beijing
Institute of Technology, Beijing, China
Author URL:
https://ieeexplore.ieee.org/author/37595719100
ID: 37595719100
Order: 3
Author Affiliations:
-
School of Optoelectronics, Beijing Institute of Technology,
Beijing, China
Image Sensor
- sensor_type: CMOS
- resolution: 1600x1200 (UXGA)
- dynamic_range: Not specified
- pixel_size: Not specified
- dark_current: Not specified
Optical Data
- focal_length: Not specified
- aperture: Not specified
- field_of_view: Not specified
- distortion: Not specified
Performance Metrics
-
frame_rate: 10 fps at full resolution, 40 fps at SVGA
(800x600)
-
noise: Fixed Pattern Noise (FPN), dynamic power
management to reduce power consumption.
Applications & Benefits
- cell_imaging: Not specified
-
benefits: Enables digital imaging in various
applications; suited for environmental monitoring, fire detection, etc.
Supporting Organizations
-
supported_by: Beijing Institute of Technology, and
related organizations in the research community.
Manuscript Details
- publication_date: 23-25 Sept. 2010
Relevancy Score
- score: 9
-
missing_fields:
- dynamic_range
- pixel_size
- dark_current
- focal_length
- aperture
- field_of_view
- distortion
- signal_to_noise_ratio
- sensitivity
- shutter_speed
- power_consumption
Processed JSON Filename
request_9a8e94dd-d5dc-4462-9774-d966d947ec64-smart_wireless_video_sensor_network_for_fire_alarm.json