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Quantum DOT Sensor for Image Capturing and Routing Based on Temporal Power and Critical Factor

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Advances in Computing and Information Technology

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 176))

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Abstract

Wireless Multimedia Sensor Network(WMSN) is a system of interlinked wireless multimedia sensor nodes(WMSn) that are able to retrieve multimedia content such as video and audio streams, still images and scalar sensor data from the environment. The multimedia sensor nodes works with CMOS or CCD technology as the base. There is a serious need to overcome the drawbacks in CMOS technology such as low battery life, high power requirements and inappropriate to be deployed in remote areas on account of frequent charging of the nodes and discrepancies in CCD technology such as delay in capturing due to row wise analysis of pixels. quantum dot sensors are introduced to overcome these serious drawbacks. The quantum film technology works by the attachment of very small quantum dots.the dots act as microelectronic units and captures images. The captured images with very high resolutions are transferred to the wireless multimedia sensor nodes(WMSn) which takes the data to multiple destinations. Jitter and delay is avoided because of the sharpness of the images and hence QOS is improved to a great extent. The proposed architecture ist called Quantum Dot sensors for image capturing and routing based on Temporal power (QDSTP) and Last Performance Time. Sensors that work based on quantum film technology achieve more selectivity, sensitivity, robustness compared to their classical counterparts. This also enables higher resolution and more low light performance.

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Correspondence to S. Indu Vadhani .

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© 2012 Springer-Verlag Berlin Heidelberg

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Indu Vadhani, S., Vithya, G., Vinayagasundaram, B. (2012). Quantum DOT Sensor for Image Capturing and Routing Based on Temporal Power and Critical Factor. In: Meghanathan, N., Nagamalai, D., Chaki, N. (eds) Advances in Computing and Information Technology. Advances in Intelligent Systems and Computing, vol 176. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31513-8_45

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  • DOI: https://doi.org/10.1007/978-3-642-31513-8_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31512-1

  • Online ISBN: 978-3-642-31513-8

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