نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشکده علوم ریاضی، دانشگاه فردوسی مشهد، مشهد، ایران
2 گروه مهندسی کامپیوتر، موسسه آموزش عالی سلمان، مشهد، ایران
3 گروه مهندسی پزشکی، واحد مشهد، دانشگاه آزاد اسلامی، مشهد، ایران
چکیده
کلیدواژه‌ها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Localization of mobile targets is one of the important topics in wireless sensor networks. The challenge lies in deploying techniques capable of estimating the subject's location amidst system noise, with minimal deviation from the actual location. In this paper, we propose a robust variant of the diffusion least mean square algorithm. This version involves distributing the estimation of the target's location across network nodes, facilitated by the pseudo-Huber's loss function. Through this method, the accuracy of estimation in localization and tracking the target improves even in the presence of various noise types. The paper formulates target location using two criteria: received signal strength and signal propagation time, based on the proposed algorithm within an adaptive filter network. Experimental results highlight the algorithm's capability to enhance the accuracy of localization and tracking operations. This improvement remains consistent across wireless sensor network scenarios influenced by both Gaussian and non-Gaussian noises, with varying signal-to-noise ratios.
کلیدواژه‌ها [English]
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