Geostatistical Modelling of the Scallop Density Distribution in Shark Bay, Western Australia from Survey Data

Document Type

Conference Proceeding

Faculty

Faculty of Computing, Health and Science

School

School of Engineering

RAS ID

5704

Comments

Mueller, U., Dickson, J., Kangas, M., & Caputi, N. (2008). Geostatistical Modelling of the Scallop Density Distribution in Shark Bay, Western Australia from Survey Data. Geostats 2008: Proceedings of the Eigth International Geostatistics Congress.

Abstract

In this paper we propose a strategy based on antecedent values provided by each sensor for detecting their malicious activity. We compare at each time moment the sensor’s output with its estimated value computed by a robust autoregressive neural predictor. In case that the difference between the two values is higher then a chosen threshold, the sensor node becomes suspicious and a decision block is activated.

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