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To improve nodes localization accuracy for wireless sensor network (WSN), we propose an optimized selection localization algorithm based on fuzzy c-means (FCM). By cluster analysis, algorithm can figure out the distance data which are far more beyond their true value, and then removes those data. Each three beacon nodes are selected to form groups. The groups are selected based on the ranges between...
Energy-based multisource localization is an important research problem in wireless sensor networks (WSNs). Existing algorithms for this problem, such as multiresolution (MR) search and exhaustive search methods, are of either high computational complexity or low estimation accuracy. In this paper, an efficient expectation-maximization (EM) algorithm for maximum-likelihood (ML) estimation is presented...
The demand for unattended aerial aystems capable of fulfilling e.g. surveillance tasks in contaminated or inaccessible areas without assistance of a human pilot is the motivation for the investigation of a high precision position estimation system and an autonomous landing algorithm. Hence, this paper describes the development of a wireless sensor network (WSN) based system able to locate a quadrocopter...
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