An Improved Weighted Centroid Localization Algorithm Based on RSSI

Article Preview

Abstract:

In wireless sensor networks, the precise positioning of unknown nodes is the precondition and security for all kinds of applications. In this paper, by analyzing the present research status of personnel positioning algorithm and on the basis of the study of traditional centroid algorithm, an improved based on RSSI (Received Signal Strength Indicator) of the weighted centroid localization algorithm is proposed. The algorithm takes the signal intensity meanwhile the distance between the unknown nodes and beacon nodes as a reference to correct RSSI value. Through the simulation of the localization algorithm it proves that the improved localization algorithm has higher precision than the traditional algorithm. Once the accidents can be timely and efficient rescue for the underground staff, better meet the actual demand of safety management.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

1574-1577

Citation:

Online since:

July 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Peng Yu, Wang Dan. Summary of wireless sensor network positioning technology. Journal of electronic measurement and instrument, 2011, 05: 389-399.

Google Scholar

[2] Wang Qin, He Jie, Zhang Qianxiong, Liu Bingfeng, Yu Yanwei. The indoor positioning algorithm based on TOA ranging error classification. Journal of scientific instrument, 2011, 12: 2851-2856.

DOI: 10.1109/pimrc.2011.6139685

Google Scholar

[3] Zou Yifan. An improved design of wireless sensor node based on RSSI. East China University of Science and Technology, (2013).

Google Scholar

[4] Zhou Xiaobo, Qiao Gangzhu, Ceng Jianchao. Weighted DV-HOP location method based on RSSI in Wireless Sensor Networks. Computer engineering and Applications, 2011, 14: 109-111.

Google Scholar

[5] Chen Weike, Li Wenfeng, Shou Heng, Yuan Bing. Weighted centroid localization algorithm for wireless sensor network based on RSSI. Journal of Wuhan University of Technology, 2006, 02: 265-268.

Google Scholar

[6] Yang Yi, Zhang Dong, Yang Xiaodong. The enhanced RSSI based on more recent neighbor centroid localization algorithm. Micro computer information, 2010, 27: 124-125.

Google Scholar

[7] Nirupama Bulusu. Robust range estimation using acoustic and multimodal sensing [A]. IEEE International Conference on Intelligent Robots and Systems, Maui , Hl, United states, 2011: 1312-1320.

Google Scholar

[8] NICONLESCU D, NATHE B. Ad-hoc Positioning Systems (APS). Proceedings of IEEE Global Telecommunications Conference, 2009, San Antonio: 2926-2931.

Google Scholar

[9] P. Bahl, V.N. Padmanabhan, A. Balae handran. Enhancements to the RADAR user Location and tracking system. Microsoft Research Technical Report MSR-TR-2000-12. MSR-TR2010-12.

Google Scholar

[10] Yedavalli K, KrishnamachariB, Ravula S, et al. Ecolocation: A sequence based technique for RFonly localization in wireless sensor networks. The Fourth International Conference on Information Processing in Sensor Networks, April (2005).

DOI: 10.1109/ipsn.2005.1440937

Google Scholar