10.3390/jmse8020132
https://zenodo.org/records/3673827
oai:zenodo.org:3673827
D'Acunto, Mario
Mario
D'Acunto
0000-0003-4233-1943
CNR
Moroni, Davide
Davide
Moroni
0000-0002-5175-5126
CNR
Puntoni, Alessandro
Alessandro
Puntoni
CNR
Salvetti, Ovidio
Ovidio
Salvetti
CNR
Optimized Dislocation of Mobile Sensor Networks on Large Marine Environments Using Voronoi Partitions
Zenodo
2020
Voronoi partition
mobile sensor networks
wireless sensor networks
environmental monitoring
marine environment
oil spills
2020-02-18
eng
https://zenodo.org/communities/eu
Creative Commons Attribution 4.0 International
The real-time environmental surveillance of large areas requires the ability to dislocate sensor networks. Generally, the probability of the occurrence of a pollution event depends on the burden of possible sources operating in the areas to be monitored. This implies a challenge for devising optimal real-time dislocation of wireless sensor networks. This challenge involves both hardware solutions and algorithms optimizing the displacements of mobile sensor networks in large areas with a vast number of sources of pollutant factors based mainly on diffusion mechanisms. In this paper, we present theoretical and simulated results inherent to a Voronoi partition approach for the optimized dislocation of a set of mobile wireless sensors with circular (radial) sensing power on large areas. The optimal deployment was found to be a variation of the generalized centroidal Voronoi configuration, where the Voronoi configuration is event-driven, and the centroid set of the corresponding generalized Voronoi cells changes as a function of the pollution event. The initial localization of the pollution events is simulated with a Poisson distribution. Our results could improve the possibility of reducing the costs for real-time surveillance of large areas, and other environmental monitoring when wireless sensor networks are involved.
European Commission
10.13039/501100000780
234096
Automatic Oil-Spill Recognition and Geopositioning integrated in a Marine Monitoring Network