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Optimisation in the design of environmental sensor networks with robustness consideration
Citation
Budi, S and de Souza, P and Timms, G and Malhotra, V and Turner, P, Optimisation in the design of environmental sensor networks with robustness consideration, Sensors, 15, (12) pp. 29765-29781. ISSN 1424-8220 (2015) [Refereed Article]
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Copyright Statement
Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
Abstract
This 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.
Item Details
| Item Type: | Refereed Article |
|---|---|
| Keywords: | environmental sensor networks, sensor networks design, sensor networks deployment, optimisation, evolutionary algorithm, spatial regression test, gap filling, noise detection, data quality |
| Research Division: | Information and Computing Sciences |
| Research Group: | Software engineering |
| Research Field: | Software engineering not elsewhere classified |
| Objective Division: | Information and Communication Services |
| Objective Group: | Information systems, technologies and services |
| Objective Field: | Information systems, technologies and services not elsewhere classified |
| UTAS Author: | Budi, S (Mr Setia Budi) |
| UTAS Author: | Malhotra, V (Dr Vishv Malhotra) |
| UTAS Author: | Turner, P (Associate Professor Paul Turner) |
| ID Code: | 106946 |
| Year Published: | 2015 |
| Web of Science® Times Cited: | 8 |
| Deposited By: | Information and Communication Technology |
| Deposited On: | 2016-02-26 |
| Last Modified: | 2018-02-28 |
| Downloads: | 168 View Download Statistics |
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