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The Scientific World Journal
Volume 2014 (2014), Article ID 308341, 10 pages
Research Article

Reputation-Based Secure Sensor Localization in Wireless Sensor Networks

1School of Software Engineering, Beijing University of Technology, Beijing 100124, China
2College of Computer Science and Technology, Beijing University of Technology, Beijing 100124, China
3Information Center, SINOPEC Research Institute of Petroleum Processing, Beijing 100083, China

Received 7 March 2014; Accepted 25 April 2014; Published 20 May 2014

Academic Editor: Yuxin Mao

Copyright © 2014 Jingsha He et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Location information of sensor nodes in wireless sensor networks (WSNs) is very important, for it makes information that is collected and reported by the sensor nodes spatially meaningful for applications. Since most current sensor localization schemes rely on location information that is provided by beacon nodes for the regular sensor nodes to locate themselves, the accuracy of localization depends on the accuracy of location information from the beacon nodes. Therefore, the security and reliability of the beacon nodes become critical in the localization of regular sensor nodes. In this paper, we propose a reputation-based security scheme for sensor localization to improve the security and the accuracy of sensor localization in hostile or untrusted environments. In our proposed scheme, the reputation of each beacon node is evaluated based on a reputation evaluation model so that regular sensor nodes can get credible location information from highly reputable beacon nodes to accomplish localization. We also perform a set of simulation experiments to demonstrate the effectiveness of the proposed reputation-based security scheme. And our simulation results show that the proposed security scheme can enhance the security and, hence, improve the accuracy of sensor localization in hostile or untrusted environments.