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Relocatable, automated cost-benefit analysis for marine sensor network design.

D'Este C, de Souza P, Sharman C, Allen S - Sensors (Basel) (2012)

Bottom Line: We describe a novel automated method for generating and combining cost and benefit values to decide on the best sensor locations using information about the specific constraints available in most coastal locations.Benefits in maximum coverage and reducing overall error are also determined using model output.This method demonstrates equivalent accuracy at predicting the whole system to expert-chosen locations, whilst significantly reducing the estimated costs.

View Article: PubMed Central - PubMed

Affiliation: Tasmanian ICT Centre, CSIRO, Castray Esplanade, Hobart, TAS 7000, Australia. Claire.DEste@csiro.au

ABSTRACT
When designing sensor networks, we need to ensure they produce representative and relevant data, but this must be offset by the financial cost of placing sensors. We describe a novel automated method for generating and combining cost and benefit values to decide on the best sensor locations using information about the specific constraints available in most coastal locations. Costs in maintenance, negotiation, equipment, exposure and communication are estimated using hydrodynamic models and Electronic Navigation Charts. Benefits in maximum coverage and reducing overall error are also determined using model output. This method demonstrates equivalent accuracy at predicting the whole system to expert-chosen locations, whilst significantly reducing the estimated costs.

No MeSH data available.


Related in: MedlinePlus

Estimated combined benefits for Macquarie Harbour. The scale is in the bottom left (20 km). Colour scale is in top right (Dark blue = 0 benefit score, dark red = 1 benefit score).
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f17-sensors-12-02874: Estimated combined benefits for Macquarie Harbour. The scale is in the bottom left (20 km). Colour scale is in top right (Dark blue = 0 benefit score, dark red = 1 benefit score).

Mentions: We have performed this analysis both on South-East Tasmania and Macquarie Harbour (Figures 15, 16 and 17) to demonstrate that this technique is relocatable. We may also decide to instrument this waterway on the West Coast of Tasmania in the future as it also has great potential for aquaculture.


Relocatable, automated cost-benefit analysis for marine sensor network design.

D'Este C, de Souza P, Sharman C, Allen S - Sensors (Basel) (2012)

Estimated combined benefits for Macquarie Harbour. The scale is in the bottom left (20 km). Colour scale is in top right (Dark blue = 0 benefit score, dark red = 1 benefit score).
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3376612&req=5

f17-sensors-12-02874: Estimated combined benefits for Macquarie Harbour. The scale is in the bottom left (20 km). Colour scale is in top right (Dark blue = 0 benefit score, dark red = 1 benefit score).
Mentions: We have performed this analysis both on South-East Tasmania and Macquarie Harbour (Figures 15, 16 and 17) to demonstrate that this technique is relocatable. We may also decide to instrument this waterway on the West Coast of Tasmania in the future as it also has great potential for aquaculture.

Bottom Line: We describe a novel automated method for generating and combining cost and benefit values to decide on the best sensor locations using information about the specific constraints available in most coastal locations.Benefits in maximum coverage and reducing overall error are also determined using model output.This method demonstrates equivalent accuracy at predicting the whole system to expert-chosen locations, whilst significantly reducing the estimated costs.

View Article: PubMed Central - PubMed

Affiliation: Tasmanian ICT Centre, CSIRO, Castray Esplanade, Hobart, TAS 7000, Australia. Claire.DEste@csiro.au

ABSTRACT
When designing sensor networks, we need to ensure they produce representative and relevant data, but this must be offset by the financial cost of placing sensors. We describe a novel automated method for generating and combining cost and benefit values to decide on the best sensor locations using information about the specific constraints available in most coastal locations. Costs in maintenance, negotiation, equipment, exposure and communication are estimated using hydrodynamic models and Electronic Navigation Charts. Benefits in maximum coverage and reducing overall error are also determined using model output. This method demonstrates equivalent accuracy at predicting the whole system to expert-chosen locations, whilst significantly reducing the estimated costs.

No MeSH data available.


Related in: MedlinePlus