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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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Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/

DOI: doi:10.3390/s151229765

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:Computer Software
Research Field:Open Software
Objective Division:Information and Communication Services
Objective Group:Computer Software and Services
Objective Field:Information Processing Services (incl. Data Entry and Capture)
Author:Budi, S (Mr Setia Budi)
Author:Malhotra, V (Dr Vishv Malhotra)
Author:Turner, P (Associate Professor Paul Turner)
ID Code:106946
Year Published:2015
Web of Science® Times Cited:1
Deposited By:Computing and Information Systems
Deposited On:2016-02-26
Last Modified:2017-11-18
Downloads:46 View Download Statistics

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