Location Determination in Indoor Environment based on RSS Fingerprinting and Artificial Neural Network (CROSBI ID 534507)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Stella, Maja ; Russo, Mladen ; Begušić, Dinko
engleski
Location Determination in Indoor Environment based on RSS Fingerprinting and Artificial Neural Network
Wireless microsensor networks have been identified as one of the most important technologies for the 21st century. Cheap, smart devices with multiple onboard sensors, networked through wireless links and the Internet and deployed in large numbers, provide unprecedented opportunities for instrumenting and controlling homes, cities, and the environment. One of the crucial issues in wireless sensor networks is position determination. In this work a positioning system based on Received Signal Strength (RSS) and WLAN is presented. In indoor environments, received signal strength is a complex function of distance. In this work artificial neural network is used to establish a relationship between RSS and location. The location determination accuracy of the proposed system has been investigated and promising results have been achieved. Although based on WLAN technology, the same positioning technique can be applied to any wireless mobile device or sensor in a wireless sensor networks.
wireless sensor networks; position determination; fingerprinting; artificial neural network
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Podaci o prilogu
301-305.
2007.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 9th International Conference on Telecommunications ConTEL 2007
Car, Željka ; Kušek , Mario
Zagreb: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu
978-953-184-110-8
Podaci o skupu
9th International Conference on Telecommunications : ConTEL 2007
predavanje
13.06.2007-15.06.2007
Zagreb, Hrvatska