Localization is the key supporting technology for wireless sensor networks (WSNs). Security and accuracy are the premise of the localization application. Real-world applications of wireless sensor networks are often subject to a variety of adverse circumstances interference, and the localization performance is seriously affected. In this paper, we propose a BRS-based robust secure localization (BRSL) algorithm in order to reduce the impact of the malicious attackers in WSNs. The BRSL method includes two phases. In the first stage, the trust evaluation framework is established on the basis of beta reputation system. In the second phase, we employ the weighted Taylor-series least squares method to estimate the coordinates of sensor nodes. Simulation results demonstrate that the proposed algorithm is robust and effective.
Recent advances in wireless sensor networks (WSNs) technologies have brought significant convenience for location‐based services. And the problem of enabling nodes of WSNs to determine their locations in a hostile environment has become more and more important in WSNs applications. In this article, we propose a novel Dempster–Shafer based secure localization algorithm to diminish the effect of the unreliable beacons that provide false localization information in the WSNs. First, the framework of trust evaluation is established on the basis of evidence theory. According to the characteristics of time and space of beacons, we set up the basic probability assignment (BPA) values and BPA evidences of beacons. Then, an improved Dempster–Shafer method is utilized to resolve the conflicts among the BPA evidences and to integrate the trust values of beacons. The max_mass function is used to decide which beacon is attacked, and then, we eliminate the attacked beacons before the localization stage. Finally, we employ the weighted Taylor‐series least squares method to estimate the normal nodes coordinates. Simulation results demonstrate that our proposed algorithm is robust and effective. Copyright © 2013 John Wiley & Sons, Ltd.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.