Design of environmental sensor networks using evolutionary algorithms
journal contribution
posted on 2023-05-19, 06:21authored bySusanto, F, Budi, S, De Souza, P, Engelke, U, He, J
An 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 Letters
Volume
13
Issue
4
Pagination
575-579
ISSN
1545-598X
Department/School
School of Information and Communication Technology
Publisher
Institute of Electrical and Electronics Engineers
Place of publication
United States
Rights statement
Copyright 2016 IEEE
Repository Status
Restricted
Socio-economic Objectives
Other environmental management not elsewhere classified