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Title page for etd-0830112-145610


URN etd-0830112-145610 Statistics This thesis had been viewed 2529 times. Download 8500 times.
Author Chiu-Wen Chen
Author's Email Address No Public.
Department Computer Science and Enginerring
Year 2011 Semester 2
Degree Master Type of Document Master's Thesis
Language zh-TW.Big5 Chinese Page Count 31
Title Study on ZigBee Indoor Position
Keyword
  • ZigBee
  • indoor location
  • human body effect
  • previous position
  • RSSI propagation model
  • RSSI propagation model
  • previous position
  • human body effect
  • indoor location
  • ZigBee
  • Abstract ZigBee is an important technology of wireless sensor network in the era of an aging population and the shortness of medical care workers. ZigBee’s application can reduce burden of medical workers, on measure blood pressure, temperature, and heartbeat. In hospital, patients usually wait workers for regular check, or medical staff not fined the patient lead to delay other patients’ times.
    In this paper we propose an indoor location system use ZigBee. That patient can get a certain degree of freedom. Let patients not only in the room to wait for checking, but also not worried about patient’s place for medical staff.
    In our measurements, RSSI values usually effect by environment, like the wall, floor, and human, called the multipath effect. Human body can strengthen RSSI values; this will reduce the accuracy of location. The received RSSI value need using RSSI propagation model convert to distance. But let RSSI values immediately convert to the distance is difficult, because our measurements show RSSI value affected by multipath effect, so we can’t get an accuracy distance.
    In order to improve the accuracy of using RSSI value, we take human body into consideration to find a set of weighted RSSI values and previous position to get the regulate location point.
    Our experiment in an indoor environment and set the reference nodes let mobile node usually only two reference nodes signal can receive. Experiment result show the average error is 1.88 meters.
    Advisor Committee
  • Jong-Jiann Shieh - advisor
  • Files indicate access worldwide
    Date of Defense 2012-07-30 Date of Submission 2012-08-30


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