Dynamic distributed clustering in wireless sensor networks via Voronoi tessellation control

DOI10.1080/00207179.2017.1378441zbMath1416.93018OpenAlexW2756335133WikidataQ58489540 ScholiaQ58489540MaRDI QIDQ5382610

Antonio Pietrabissa, Franco Liberati

Publication date: 18 June 2019

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/11573/1003014

zbMATH Keywords

Markov decision processesreinforcement learningwireless sensor networksVoronoi partitioning

Mathematics Subject Classification ID

Communication networks in operations research (90B18) Markov and semi-Markov decision processes (90C40) Large-scale systems (93A15)

Cites Work

• Numerical studies of MacQueen's \(k\)-means algorithm for computing the centroidal Voronoi tessellations
• Centroidal Voronoi Tessellations: Applications and Algorithms
• Efficient Routing Algorithms for Multiple Vehicles With no Explicit Communications
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