LSRR-LA: AN ANISOTROPY-TOLERANT LOCALIZATION ALGORITHM BASED ON LEAST SQUARE REGULARIZED REGRESSION FOR MULTI-HOP WIRELESS SENSOR NETWORKS

LSRR-LA: An Anisotropy-Tolerant Localization Algorithm Based on Least Square Regularized Regression for Multi-Hop Wireless Sensor Networks

As is well known, multi-hop range-free localization algorithms demonstrate pretty good performance in isotropic networks in which sensor nodes distribute evenly and densely.However, these algorithms are easily affected by network topology, causing a significant decrease in positioning accuracy.To improve the localization performance in anisotropic

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Brood sex ratio in the Yellow-bellied Prinia (Prinia flaviventris)

Abstract Background The adjustment of sex ratios in birds can occur at the egg and nestling stages.Previous studies showed that the sex ratio was affected by environmental factors and parental condition; it may result in seasonal and ecosystem differences.Methods In this study, the brood sex ratio ZERO AMMONIA COLOR of the Yellow-bellied Prinia (Pr

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