High-quality meets low-cost: Approaches for hybrid-mobility sensor networks

Nicolas P. Winkler, Patrick P. Neumann, Arto Säämänen, Erik Schaffernicht, Achim J. Lilienthal

Research output: Contribution to journalArticle in a proceedings journalScientificpeer-review

3 Citations (Scopus)


Air pollution within industrial scenarios is a major risk for workers, which is why detailed knowledge about the dispersion of dusts and gases is necessary. This paper introduces a system combining stationary low-cost and high-quality sensors, carried by ground robots and unmanned aerial vehicles. Based on these dense sampling capabilities, detailed distribution maps of dusts and gases will be created. This system enables various research opportunities, especially on the fields of distribution mapping and sensor planning. Standard approaches for distribution mapping can be enhanced with knowledge about the environment's characteristics, while the effectiveness of new approaches, utilizing neural networks, can be further investigated. The influence of different sensor network setups on the predictive quality of distribution algorithms will be researched and metrics for the quantification of a sensor network's quality will be investigated.
Original languageEnglish
Pages (from-to)250-253
JournalMaterials Today: Proceedings
Publication statusPublished - 2019
MoE publication typeA4 Article in a conference publication
Event36th Danubia Adria Symposium on Advances in Experimental Mechanics, DAS 2019 - Pilsen, Czech Republic
Duration: 24 Sept 201927 Sept 2019


  • Air quality monitoring
  • Gas distribution mapping
  • Mobile robot olfaction
  • Occupational health
  • Wireless sensor network


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