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|Title||Indoor localization based on RF ZigBee protocol|
Localization in indoor environments is an important aspect with respect to object tracking applications. One of the commercial mechanisms to get to oknow the accurate position of a person/object is global positioning system (GPS). However, this technique is imprecise and does not allow meter or sub-meter accuracy within buildings which is very necessary for smart houses or other wireless network sensors. Currently infrared, RF, and ultrasound signals are principal technologies used for indoor positioning system because unlike outdoor areas, the indoor environment has many challenges on localization due to the dense multi-path effect and building material. Based on the existence of radio connectivity and the attenuation of radio signal with distance, the postion of wireless devices can be estimated especially at low power consumption. The received signal strength indicators (RSSI) has drawn a lot of attention in recent literature since it can be used to estimate the distance from a transmitter to a receiver, thereby estimating the position of a wireless sensor node which is a typical application of ZigBee (IEEE 802.11) protocol standard. There are two common approaches based on RSSI: fingerprints and trilateration. Table 1 summarizes the existing indoor positioning system for ZigBee standards.
Table 1 – Parameter comparison of indoor positioning systems
Table 2 – Performance comparison of indoor positioning systems
The research project will focus on the object-tracking application which is an algorithmic-software implementation written in Embedded C. The software is able to receive data messages and generate object position estimation data. It acts as an interface that collects raw data that the sensor node generates. Through the application, we will find the most suitable algorithm that can identify and track the object most efficiently.
This subject is dedicated to Vietnamese students as well as foreigner students at Master degree of Electrical Engineering or Telecommunication option. The students who have a fairly good knowledge about wireless sensor networks and C programming are privileged.
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