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Mobile platform sampling for designing environmental sensor networks

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Abstract

This paper proposes a method to design the deployment of sensor nodes in a new region where historical data is not available. A number of mobile platforms are simulated to build initial knowledge of the region. Further, an evolutionary algorithm is employed to find the optimum placement of a given number of sensor nodes that best represents the region of interest.

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Acknowledgements

The experiment was conducted using the SouthEsk data model owned by Commonwealth Scientific Research and Industrial Organisation (CSIRO). Auro Almeida (CSIRO) provided a priceless insight regarding the environmental monitoring in the northeast region of Tasmania. Raymond Williams (CSIRO) proofread the manuscript. S.B. acknowledges support from Sense-T for a PhD scholarship and a top-up scholarship from CSIRO.

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Correspondence to Setia Budi.

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Budi, S., de Souza, P., Timms, G. et al. Mobile platform sampling for designing environmental sensor networks. Environ Monit Assess 190, 130 (2018). https://doi.org/10.1007/s10661-018-6510-0

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  • DOI: https://doi.org/10.1007/s10661-018-6510-0

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