Optimal Location of a Mobile Sensor Continuum for Environmental Monitoring

Duby, Georges

doi:10.3182/20130925-3-fr-4043.00009

Cited by 3 publications

(4 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Landslides, avalanches, lava flows, mudflows LIDAR, satellite, stress sensors, crowdsensing [Terzis et al (2006)], [Thuro et al (2017)] Pollution Pollutant sensors, crowdsensing [Georges (2011)], [Georges (2013a)], [Georges (2013b)], [Boubrima et al (2015)]), [Kouichi et al (2016)]) [Georges (2017)])…”

Section: Some Existing Ospp Applicationsmentioning

confidence: 99%

Volume 10, Issue 1 | Journal of Integrated Disaster Risk Management | IDRiM Journal

2021

IDRiM Journal

View full text Add to dashboard Cite

Urban and rural areas are dynamic systems, functionally interlinked through their social, economic, and environmental settings. While urban population heavily depends on the natural resources sourced from surrounding rural areas, the rural population is increasingly reliant on urban areas for employment, healthcare etc. In the recent years, the notion of urbanrural linkage has gained high prominence in the global policy outcomes, including the Sustainable Development Goals and The New Urban Agenda, particularly in response to the rapid urbanization trends and climate change. However, it's application at local level development planning is still not apparent. In case of the Nagpur Metropolitan Area 'NMA' in India, a Smart City and Smart Rural 'Rurban' Cluster are being developed adjacently under two different missions of Government of India which are totally disconnected. While urbanrural systems in NMA are already stressed with the situations of resource conflict (like water supply), their relationships are expected to get further constrained under changing climate scenarios. Addressing this need, we present a knowledge-based conceptual framework that presents an overall picture of the water resource flow (specifically from a Water-Energy-Food nexus perspective) between urban and rural areas within NMA. Based on the developed framework, the study suggests feasible directions for smartly linking the upcoming developments in Nagpur Smart city and adjacent Rurban cluster.

show abstract

Section: Some Existing Ospp Applicationsmentioning

confidence: 99%

Volume 10, Issue 1 | Journal of Integrated Disaster Risk Management | IDRiM Journal

2021

IDRiM Journal

View full text Add to dashboard Cite

show abstract

“…Knowing the optimal sensor density distribution, ensuring the actual location of the sensors has to be investigated. A comparison of the here-proposed observability index with the one proposed in Georges (2013), and the influence of the number of considered modes (N × M ) have also to to be investigated in some future works. …”

Section: A Numerical Examplementioning

confidence: 99%

“…Rather than solving optimal sensor location problem (47) by using a gradient-based navigation scheme for a limited number of N s sensors, and as in Georges (2013), a conservation law governing the behavior of a mobile sensor crowd towards an optimal sensor configuration is now derived, which only requires a rather simple numerical simulation. Following the same approach as in Canizo (2012) or Colombo (2012) for crowd modeling, the following 2D conservation law is proposed, if the conservation of sensor density denoted ρ(X, t), X ∈ Ω, w.r.t.…”

Section: A Conservation Law For the Optimal Location Of A Sensor Crowdmentioning

confidence: 99%

“…In Demetriou (2011); Ucinski (2005), the authors derive a stable distributed-parameter state observer by using measurements from some mobile sensors which have to be controlled to satisfy this goal. Following the same idea, in Georges (2013), a nonlinear conservation law is proposed to model the collective behavior of a mobile sensor continuum used for pollution monitoring purpose. The sensor density reaches an equilibrium corresponding to the necessary conditions for optimality (observability maximization or trade-off between observability maximization and obstacle avoidance in the presence of obstacles).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimal Sensor Location and Mobile Sensor Crowd Modeling for Environmental Monitoring

Duby

2017

IFAC-PapersOnLine

Self Cite

View full text Add to dashboard Cite

In this paper, the optimal sensor location problem is first discussed for environmental monitoring of physical phenomena governed by some advection-diffusion partial-differential equations. In particular, the exact derivation of the observability Gramian of an advectiondiffusion PDE is investigated. Based on the optimality criteria derived from this analysis, a conservation law governing the behavior of a crowd of mobile sensors is proposed to ensure convergence of the sensor density towards an optimal location. The monitoring of pollution on a 2D domain is the case study used throughout the paper to illustrate the effectiveness of the proposed approach.

show abstract