2011
DOI: 10.4028/www.scientific.net/amr.314-316.2486
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Design of Medical Wireless Sensor Network

Abstract: The paper presented the Medical Wireless Sensor Network model with combining battery energy, environment energy and human body energy to provide energy supply. Also, the paper discussed sensor node planning designed by means of ZigBee technology. After combining the application of Internet, it could not only carry out remote localization, but also ensure the accuracy, sensitivity and safety of close monitoring.

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Cited by 9 publications
(5 citation statements)
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“…Some of these points are as follows [10]:  Mainly the deployment model: In a small region, the sensor node is positioned one after one to ensure a scanned region. However, in a large region, the sensor nodes are deployed randomly.…”
Section: Impact Of Network Deployment On Data Credibilitymentioning
confidence: 99%
“…Some of these points are as follows [10]:  Mainly the deployment model: In a small region, the sensor node is positioned one after one to ensure a scanned region. However, in a large region, the sensor nodes are deployed randomly.…”
Section: Impact Of Network Deployment On Data Credibilitymentioning
confidence: 99%
“…Performance of VCO is measured in terms of oscillation frequency, wide tuning range, phase noise, jitters in addition power consumption. A lot of uses of VCO in the field of medical applications like MRI, ultra sound [8][9][10][11][12][13] and pacemaker and also in the fields like cyber security and cryptography. The outstanding work along with Section II compacts with various techniques in VCRO results in rise of the various factors of circuit and Section III accomplishes the paper.…”
Section: Introductionmentioning
confidence: 99%
“…These nodes are placed in a pre-planned way to guarantee coverage. Issues in these networks are the demand of high-energy consumption, quality of service provisioning, high bandwidth, cross-layer design and data processing and compression techniques [10].…”
Section: D) Multimedia Wsnsmentioning
confidence: 99%