Power Management for Hospitalization Using Microcontroller BasedWireless Multimedia Sensor Networks

  • Authors

    • G. Gomathy
    • K. Sujatha
    https://doi.org/10.14419/ijet.v7i4.6.28563
  • WMSN, ZigBee, Microcontroller

  • Abstract

    The Multimedia is a combination of different usage of data such as text, audio, video and image. The wireless sensor nodes are activated to focus area of the hospitalization with monitoring of the microcontroller to the entire network.The Multimedia is a combination of different usage of data such as text, audio, video and image. The wireless sensor nodes are activated to focus area of the hospitalization with monitoring of the microcontroller to the entire network.The amount of sub-space of the congestion windows are needed to be searched in reconstruction algorithm iteration are sparse model collaborating design reduced, and the number of measurement of mobile sensor nodes are needed for reconstructing network data accurately. The current multimedia sensing network compressed for sensing algorithm that can effectively reduce the transmission for multiple kind of data such as text, image, video    or audio of scanning reports are generated in the reconstructing network for premise of guaranteeing of reconstruction and further reduce network node energy consumption which depends on the medical components like CT Scan, MRI Scan, X-Ray, ECG, Thermometer, Laser and so on. There are surfaced for the designers of WSNs, in order to meet the different component requirements utilized power consumption deduction and identification based on the duration of the usage from the gateway via microcontroller and mobile nodes are sensed quantities for size of nodes to each network zone which controllable by the zigbee network to be applicable. The multimedia devices are developments in the sensor nodes are produce very powerful and cost-effective devices.

     

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  • How to Cite

    Gomathy, G., & Sujatha, K. (2018). Power Management for Hospitalization Using Microcontroller BasedWireless Multimedia Sensor Networks. International Journal of Engineering & Technology, 7(4.6), 453-456. https://doi.org/10.14419/ijet.v7i4.6.28563

    Received date: 2019-03-22

    Accepted date: 2019-03-22