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We propose a new tracking framework by organizing nodes into a polygonal spatial neighborhood in order to detect and track unauthorized traversals in surveillance wireless sensor networks. During a tracking, the neighborhood is further constructed ahead of the target traversal, and this features a timely forwarding with guaranteed delivery property. Instead of estimating future movement and position...
The problem of state estimation with quantized measurements is considered. Due to the nonlinearity of the quantizer, estimating the system state is a nonlinear and non-Gaussian estimation problem even if the system is linear and Gaussian. A novel algorithm for approximate minimum mean square error (MMSE) state estimation with quantized measurements is proposed. The algorithm is based on the information...
In this paper, we present a grid-based fault-tolerant event detection scheme for wireless sensor networks. The sensor field is divided into square-shaped cells, called virtual grids here, where sensor nodes in each grid form a cluster. Each grid is further divided into subgrids of equal size. Each cluster head receives sensor readings of its member nodes and counts the number of sensor nodes reporting...
The high cost of communication vis-a-vis computation cost necessitates efficient aggregation in wireless sensor networks. This paper proposes and evaluates two different clustering techniques, FAMNN and DBA. The first approach based on adaptive resonance theory whereas the second approach is based on density based clustering of data. The first technique, FAMNN is based on fuzzy ART and fuzzy ARTMAP...
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