Title :
Fuzzy distance measuring based on RSSI in Wireless Sensor Network
Author :
Feng, Xiufang ; Gao, Zhanqiang ; Yang, Mian ; Xiong, Shibo
Author_Institution :
Taiyuan Univ. of Technol., Taiyuan, China
Abstract :
Wireless sensor network has become the hot research field over the world since 1990 s, and the localization plays important role in WSN, however, distance measuring is the base of the localization. A novel distance measuring technology is proposed in the paper, which use fuzzy inference system trained by adaptive neural-fuzzy inference system to create the model that maps RSSI into the correct T-R distance, and it is feasible proved by experiments.
Keywords :
adaptive systems; distance measurement; fuzzy neural nets; fuzzy reasoning; learning (artificial intelligence); telecommunication computing; wireless sensor networks; adaptive neural-fuzzy inference system; fuzzy distance measurement; neural net training; received signal strength indication; wireless sensor network; Equations; Fuzzy systems; Input variables; Intelligent networks; Intelligent sensors; Intelligent systems; Knowledge engineering; Paper technology; Radio frequency; Wireless sensor networks; ANFIS(Adaptive Neural-Fuzzy Inference System); WSN(Wireless Sensor Network);
Conference_Titel :
Intelligent System and Knowledge Engineering, 2008. ISKE 2008. 3rd International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-2196-1
Electronic_ISBN :
978-1-4244-2197-8
DOI :
10.1109/ISKE.2008.4730962
