Enhancing Multimedia Compression And Transmission Technique To Aid Energy Efficient Wireless Multimedia Sensor Network

• doi: 10.1109/ICACCT.2018.8529548
• title: Enhancing Multimedia Compression and Transmission Technique to Aid Energy Efficient Wireless Multimedia Sensor Network
• publisher: IEEE
• isbn: 978-1-5386-0927-9
• issn:
• rank: 2402
• access_type: LOCKED
• content_type: Conferences
• abstract: Power consumption is an elementary concern in the development of any application of Wireless Multimedia Sensor Network (WMSN). In WMSN, sensors equipped with multimedia devices are self-powered using batteries. However, multimedia data collection, processing and transmission process consumes large amount of energy. Considering image as a data used in WMSN, the size of the image captured by CMOS camera is large. Hence, transmission of a raw image contains large number of bytes resulting in more power consumption of the camera nodes. The most functional solution to reduce power consumption due to processing and transmission of large sized image is image compression, which minimize the numbers of bytes needed to transmit in WMSN. In this paper, we have proposed a distributed image compression method which gives high compression ratio. Simulation results shows that our proposed distributed image compression method when applied in clustered network, balances energy consumption and prolong the network lifetime when compared with existing and centralized image compression method.
• article_number: 8529548
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8529548
• html_url: https://ieeexplore.ieee.org/document/8529548/
• abstract_url: https://ieeexplore.ieee.org/document/8529548/
• publication_title: 2018 International Conference On Advances in Communication and Computing Technology (ICACCT)
• conference_location: Sangamner, India
• conference_dates: 8-9 Feb. 2018
• publication_number: 8510744
• is_number: 8529319
• publication_year: 2018
• publication_date: 8-9 Feb. 2018
• start_page: 378
• end_page: 383
• citing_paper_count: 3
• citing_patent_count: 0
• download_count: 122
• insert_date: 20181111
• index_terms:
  • ieee_terms:
    • Image coding
    • Cameras
    • Discrete cosine transforms
    • Wireless sensor networks
    • Discrete wavelet transforms
    • Energy consumption
    • Wireless communication
  • author_terms:
    • Wireless Sensor Network (WSN)
    • Wireless Multimedia Sensor Network (WMSN)
    • image compression
    • clustering
    • energy efficient
    • distributed
    • Discrete Cosine Transform (DCT)
    • Descrete Wavelet Transform (DWT)
    • Singular Value Decomposition (SVD)
    • compression ratio
  • dynamic_index_terms:
    • Wireless Networks
    • Sensor Networks
    • Wireless Sensor
    • Wireless Sensor Networks
    • Energy Consumption
    • Energy Expenditure
    • Power Consumption
    • Network Clustering
    • Transmission Process
    • Compression Ratio
    • Image Compression
    • Network Lifetime
    • High Compression Ratio
    • Multimedia Data
    • Image Quality
    • Network Topology
    • Microphone
    • Wavelet Transform
    • Wavelet Coefficients
    • Singular Value Decomposition
    • Common Node
    • Cluster Membership
    • Image Block
    • Transmission Images
    • Cluster Head
    • Network Energy Consumption
    • Clustering Approach
    • Base Station
    • Reduce Energy Consumption
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-5386-0927-9, isbnType: New-2005
  • format: CD, value: 978-1-5386-0924-8, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-5386-0926-2, isbnType: New-2005
• authors:
  • Author Name: Nirali Patel
    Affiliation: Computer Engineering Department, Surat Gujarat Technological University
    Author URL: https://ieeexplore.ieee.org/author/37086125269
    ID: 37086125269
    Order: 1
    Author Affiliations:
    • Computer Engineering Department, Surat Gujarat Technological University
  • Author Name: Jayesh Chaudhary
    Affiliation: Computer Engineering Department, Surat Gujarat Technological University
    Author URL: https://ieeexplore.ieee.org/author/37086127857
    ID: 37086127857
    Order: 2
    Author Affiliations:
    • Computer Engineering Department, Surat Gujarat Technological University

Image Sensor

• sensor_type: CMOS
• resolution: 512x512
• 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

Applications & Benefits

• cell_imaging: not specified
• benefits: not specified

Supporting Organizations

• supported_by: not specified

Manuscript Details

• publication_date: 8-9 Feb. 2018

Relevancy Score

• score: 8
• missing_fields:
  • dynamic_range
  • pixel_size
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise
  • cell_imaging
  • benefits
  • supported_by

Processed JSON Filename

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