relay positioning
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2020 ◽  
Vol 129 ◽  
pp. 103517
Author(s):  
Jongyun Kim ◽  
Pawel Ladosz ◽  
Hyondong Oh
Keyword(s):  

Author(s):  
Cristian Garcia Ruiz ◽  
Antonio Pascual-Iserte ◽  
Olga Munoz

Author(s):  
Floriana Benedetti ◽  
Alessio Capitanelli ◽  
Fulvio Mastrogiovanni ◽  
Gianni Viardo Vercelli

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 67681-67687 ◽  
Author(s):  
Satish K. Tiwari ◽  
Tadi Ravi Teja Reddy ◽  
Prabhat K. Upadhyay ◽  
Daniel Benevides Da Costa

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
José Jailton ◽  
Tassio Carvalho ◽  
Jasmine Araújo ◽  
Renato Francês

In the new context of Next Generation Networks, Aerial Ad Hoc Networks, also known as FANET (Flying Ad Hoc Network), are being used to monitor areas of difficult access. Owing to the dynamism and autoconfiguration of this type of network, a strategy is needed to position its devices (drones) to ensure it can achieve good performance. In light of this, this paper proposes a flight path planning model, which involves a metaheuristic optimization-based approach. The proposal relied on the artificial neural networks to optimize the positioning of the relay device, so that the throughput between the other devices could be increased; the benefits of the proposal were demonstrated through simulations.


2015 ◽  
Vol 64 (1) ◽  
pp. 159-172 ◽  
Author(s):  
Quoc-Tuan Vien ◽  
Huan X. Nguyen ◽  
Brian G. Stewart ◽  
Jinho Choi ◽  
Wanqing Tu
Keyword(s):  

Author(s):  
Mei Yi Cheung ◽  
Joshua Leighton ◽  
Urbashi Mitra ◽  
Hanumant Singh ◽  
Franz S. Hover
Keyword(s):  

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