A 136W Adaptive Cmos Image Sensor With Reconfigurable Modes Of Operation From Available Energyillumination For Distributed Wireless Sensor Network

• doi: 10.1109/ISSCC.2012.6176897
• title: A 1.36μW adaptive CMOS image sensor with reconfigurable modes of operation from available energy/illumination for distributed wireless sensor network
• publisher: IEEE
• isbn: 978-1-4673-0375-0
• issn: 0193-6530
• partnum: 12CH38938
• rank: 210
• access_type: LOCKED
• content_type: Conferences
• abstract: For outdoor surveillance, sensitivity and dynamic range are important to deliver reliable images over widely changing illumination. However, constant monitoring with maximum awareness requires large power consumption and is not suitable for energy-limited applications such as battery-operated and/or energy-scavenging wireless sensor nodes. One of the ways to reduce power is voltage scaling [1-4]. However, it significantly reduces the SNR and results in poor image quality [4]. The signal can be easily corrupted from the noise in dark conditions or be saturated in bright conditions. Most imagers with high sensitivity and wide dynamic range [5,6] consume large power >;50mW, unsuitable for wireless imager node applications. Therefore, it is imperative to implement a sensor adaptable to environmental changes: i.e., the sensor keeps monitoring at extremely low power operation and only turns into high-sensitivity or wide-dynamic-range operations when requested due to illumination changes or requested from the host for detailed image transmission. The sensor changes its operation back to the monitoring mode as a default or when enough operating energy is not available from the battery or energy-harvester. In this paper, we report an adaptive CMOS image sensor that employs four different modes: monitoring, normal, high-sensitivity and wide-dynamic-range (WDR) modes. This adaptable feature enables reliable monitoring while significantly enhancing battery lifetime for wireless image-sensor nodes.
• article_number: 6176897
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6176897
• html_url: https://ieeexplore.ieee.org/document/6176897/
• abstract_url: https://ieeexplore.ieee.org/document/6176897/
• publication_title: 2012 IEEE International Solid-State Circuits Conference
• conference_location: San Francisco, CA, USA
• conference_dates: 19-23 Feb. 2012
• publication_number: 6171933
• is_number: 6176863
• publication_year: 2012
• publication_date: 19-23 Feb. 2012
• start_page: 112
• end_page: 114
• citing_paper_count: 9
• citing_patent_count: 2
• download_count: 1520
• insert_date: 20120403
• index_terms:
  • ieee_terms:
    • Monitoring
    • Latches
    • Preamplifiers
    • CMOS image sensors
    • Wireless sensor networks
    • Lighting
    • Dynamic range
  • dynamic_index_terms:
    • Wireless Sensor
    • Wireless Sensor Networks
    • Dynamic Range
    • Energy Conservation
    • Energy-saving
    • Integration Time
    • Image Reconstruction
    • Iterative Reconstruction
    • Tomographic Reconstruction
    • Dark Conditions
    • Sensory Function
    • Sensor Performance
    • Equivalent Circuit
    • Monitoring Mode
    • Capacitive Coupling
    • AC-coupled
    • Electrostatic Coupling
    • Total Power Consumption
    • Differential Amplifier
    • Battery Lifetime
    • Bright Conditions
    • Voltage Scaling
    • Image Saturation
    • Reset Voltage
    • Column In Order
    • Dark Illumination
• isbn_formats:
  • format: CD, value: 978-1-4673-0375-0, isbnType: New-2005
  • format: CD, value: 978-1-4673-0374-3, isbnType: New-2005
  • format: Print ISBN, value: 978-1-4673-0376-7, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-4673-0377-4, isbnType: New-2005
• authors:
  • Author Name: Jaehyuk Choi
    Affiliation: University of Michigan, Ann Arbor, MI, USA
    Author URL: https://ieeexplore.ieee.org/author/37066872300
    ID: 37066872300
    Order: 1
    Author Affiliations:
    • University of Michigan, Ann Arbor, MI, USA
  • Author Name: Seokjun Park
    Affiliation: University of Michigan, Ann Arbor, MI, USA
    Author URL: https://ieeexplore.ieee.org/author/38240901800
    ID: 38240901800
    Order: 2
    Author Affiliations:
    • University of Michigan, Ann Arbor, MI, USA
  • Author Name: Jihyun Cho
    Affiliation: University of Michigan, Ann Arbor, MI, USA
    Author URL: https://ieeexplore.ieee.org/author/38238016500
    ID: 38238016500
    Order: 3
    Author Affiliations:
    • University of Michigan, Ann Arbor, MI, USA
  • Author Name: Euisik Yoon
    Affiliation: University of Michigan, Ann Arbor, MI, USA
    Author URL: https://ieeexplore.ieee.org/author/37275464600
    ID: 37275464600
    Order: 4
    Author Affiliations:
    • University of Michigan, Ann Arbor, MI, USA

Image Sensor

• sensor_type: CMOS
• resolution: 336x256
• 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

• power_consumption: 1.36μW
• noise: input-referred noise in dark conditions suppressed by amplifiers

Applications & Benefits

• cell_imaging: used in outdoor surveillance applications
• benefits: adaptable to environmental changes, significant battery lifetime enhancement for wireless image-sensor nodes

Supporting Organizations

• supported_by: University of Michigan, Ann Arbor, MI

Manuscript Details

• publication_date: 19-23 Feb. 2012

Relevancy Score

• score: 10
• missing_fields:
  • dynamic_range
  • pixel_size
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • noise

Processed JSON Filename

request_3085653e-9f44-463b-b64c-87e4b28665d6-a_136w_adaptive_cmos_image_sensor_with_reconfigurable_modes_of_operation_from_available_energyillumination_for_distributed_wireless_sensor_network.json