sensors-15-29765.pdf (1.59 MB)
Optimisation in the design of environmental sensor networks with robustness consideration
journal contribution
posted on 2023-05-18, 17:25 authored by Budi, S, de Souza, P, Timms, G, Malhotra, V, Paul TurnerPaul TurnerThis work proposes the design of Environmental Sensor Networks (ESN) through balancing robustness and redundancy. An Evolutionary Algorithm (EA) is employed to find the optimal placement of sensor nodes in the Region of Interest (RoI). Data quality issues are introduced to simulate their impact on the performance of the ESN. Spatial Regression Test (SRT) is also utilised to promote robustness in data quality of the designed ESN. The proposed method provides high network representativeness (fit for purpose) with minimum sensor redundancy (cost), and ensures robustness by enabling the network to continue to achieve its objectives when some sensors fail.
History
Publication title
SensorsVolume
15Issue
12Pagination
29765-29781ISSN
1424-8220Publisher
Molecular Diversity Preservation InternationalPlace of publication
Matthaeusstrasse 11, Basel, Switzerland, Ch-4057Rights statement
Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/Repository Status
- Open