1 research outputs found
Outlier Detection and Optimal Anchor Placement for 3D Underwater Optical Wireless Sensor Networks Localization
Location is one of the basic information required for underwater optical
wireless sensor networks (UOWSNs) for different purposes such as relating the
sensing measurements with precise sensor positions, enabling efficient
geographic routing techniques, and sustaining link connectivity between the
nodes. Even though various two-dimensional UOWSNs localization methods have
been proposed in the past, the directive nature of optical wireless
communications and three-dimensional (3D) deployment of sensors require to
develop 3D underwater localization methods. Additionally, the localization
accuracy of the network strongly depends on the placement of the anchors.
Therefore, we propose a robust 3D localization method for partially connected
UOWSNs which can accommodate the outliers and optimize the placement of the
anchors to improve the localization accuracy. The proposed method formulates
the problem of missing pairwise distances and outliers as an optimization
problem which is solved through half quadratic minimization. Furthermore,
analysis is provided to optimally place the anchors in the network which
improves the localization accuracy. The problem of optimal anchor placement is
formulated as a combination of Fisher information matrices for the sensor nodes
where the condition of D-optimality is satisfied. The numerical results
indicate that the proposed method outperforms the literature substantially in
the presence of outliers.Comment: 14 pages, 11 figures, Accepted for Publication in IEEE Transactions
on Communication