Paper
19 October 2012 Architecture and methods for UAV-based heterogeneous sensor network applications
Author Affiliations +
Abstract
Wireless sensor netwoks (WSN) employ miniaturized devices which integrate sensing, processing, and communication capabilities. In this paper an innovative mobile platform for heterogeneous sensor networks is presented, combined with adaptive methods to optimize the communication architecture for novel potential applications even in coastal and marine environment monitoring. In fact, in the near future, WSN data collection could be performed by UAV platforms which can be a sink for ground sensors layer, acting essentially as a mobile gateway. In order to maximize the system performances and the network lifespan, the authors propose a recently developed hybrid technique based on evolutionary algorithms. This procedure is here applied to optimize the communication energy consumption in WSN by selecting the optimal multi-hop routing schemes, with a suitable hybridization of different routing criteria. The proposed approach can be potentially extended and applied to ongoing research projects focused on UAV-based remote sensing of the ocean, sea ice, coastal waters, and large water regions.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pedro Antonio, Davide Caputo, Alessandro Gandelli, Francesco Grimaccia, and Marco Mussetta "Architecture and methods for UAV-based heterogeneous sensor network applications", Proc. SPIE 8532, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2012, 853209 (19 October 2012); https://doi.org/10.1117/12.970569
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Cited by 2 scholarly publications.
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KEYWORDS
Sensor networks

Sensors

Unmanned aerial vehicles

Algorithm development

Optimization (mathematics)

Evolutionary algorithms

Genetical swarm optimization

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