论文信息 - A Research on the Localization Technology of Wireless Sensor Networks Employing TI's CC2530 Instrument

A Research on the Localization Technology of Wireless Sensor Networks Employing TI's CC2530 Instrument

Many applications of wireless sensor networks depend on the location information of sensor nodes and how to obtain the localization has become the focus of research activities in WSN. In order to solve the problem the log-normal shadow model and the trilateration method is used to estimate location of a sensor node in the paper. Many Experiments have been done to reduce the distance error and the experiment results show that the method is a better way for node position.

Xuemei Liu | Yingjiu Guo

[1] J. A. Durkin,et al. Computer prediction of service area for VHF mobile radio networks , 1969 .

[2] M. Hata,et al. Empirical formula for propagation loss in land mobile radio services , 1980, IEEE Transactions on Vehicular Technology.

[3] H. Bertoni,et al. A theoretical model of UHF propagation in urban environments , 1988 .

[4] Yoan Shin,et al. An RSS-comparison based localization in wireless sensor networks , 2011, 2011 8th Workshop on Positioning, Navigation and Communication.

[5] Mani Srivastava,et al. Overview of sensor networks , 2004 .

[6] P. Rice,et al. TRANSMISSION LOSS PREDICTIONS FOR TROPOSPHERIC COMMUNICATION CIRCUITS, VOLUME 1 , 1965 .

[7] A. S. Krishnakumar,et al. Bayesian indoor positioning systems , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[8] Zhang Shi. The Research of Multi-dimensional Scaling Iterations Localization Algorithm Based on RSSI , 2009 .

[9] Carsten Bormann,et al. 6LoWPAN: The Wireless Embedded Internet , 2009 .

[10] Jie Wu,et al. A Survey on Secure Localization in Wireless Sensor Networks , 2007 .

[11] Wen-Hsing Kuo,et al. An intelligent positioning approach: RSSI-based indoor and outdoor localization scheme in Zigbee networks , 2010, 2010 International Conference on Machine Learning and Cybernetics.