Abstract
The Layer-Terrain algorithm is proposed in the background of underwater environment, focusing on reduction of the accumulated location error. Based on the TERRAIN algorithm, this algorithm introduces the concept of layer, sequences the reference nodes according to the information of layer and estimates the position by maximum likelihood estimation. This sequencing process not only makes use of redundant information, but also limits the amount of computing data. The simulation experiments show that the improved algorithm efficiently deals with error propagation among the network and improves the localization precision of TERRAIN algorithm.
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Liang, Y., Liu, Z. (2009). Layer-TERRAIN: An Improved Algorithm of TERRAIN Based on Sequencing the Reference Nodes in UWSNs. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5553. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01513-7_24
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DOI: https://doi.org/10.1007/978-3-642-01513-7_24
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