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Design of environmental sensor networks using evolutionary algorithms
journal contribution
posted on 2023-05-19, 06:21 authored by Susanto, F, Budi, S, De Souza, P, Engelke, U, He, JAn evolutionary algorithm (EA)-assisted spatial sampling methodology is proposed to assist decision makers in sensor network (SN) deployments. We incorporated an interpolation technique with leave-one-out cross-validation (LOOCV) to assess the representativeness of a particular SN design. For the validation of our method, we utilized Tasmania's South Esk Hydrological Model developed by the Commonwealth Scientific and Industrial Research Organisation, which includes a range of environmental variables describing the landscape. We demonstrated that our proposed methodology is capable of assisting in the initial design of SN deployment. Ordinary Kriging is shown to be the best suited spatial interpolation algorithm for the EA's LOOCV under the current empirical study.
History
Publication title
IEEE Geoscience and Remote Sensing LettersVolume
13Issue
4Pagination
575-579ISSN
1545-598XDepartment/School
School of Information and Communication TechnologyPublisher
Institute of Electrical and Electronics EngineersPlace of publication
United StatesRights statement
Copyright 2016 IEEERepository Status
- Restricted