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Demo Abstract: Energy-Efficient Aerial Data Aggregation in ..:
, In:
2023 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)
,
Mohammed, Anas S.
;
Khalifa, Omar
;
Alhejab, Ali
... - p. 147-149 , 2023
Link:
https://doi.org/10.1109/BlackSeaCom58138.2023.10299765
RT T1 <cTitle>2023 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)</cTitle>: T1 <Title>Demo Abstract: Energy-Efficient Aerial Data Aggregation in IoT Networks with WuR</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10299765&Exemplar=1&LAN=DE A1 Mohammed, Anas S. A1 Khalifa, Omar A1 Alhejab, Ali A1 Abdelrahman, Abdelrahman S. A1 Al-Radhwan, Ahmed A1 ElSawy, Hesham A1 Kouzayha, Nour A1 Al-Harthi, Noha A1 Elmirghani, Jaafar A1 Hanif, Mansoor A1 Al-Naffouri, Tareq Y. YR 2023 K1 Wireless communication K1 Wireless sensor networks K1 Energy consumption K1 Pollution K1 Data aggregation K1 Autonomous aerial vehicles K1 Energy efficiency K1 Unmanned Aerial Vehicle (UAV) K1 Aerial Communication K1 Internet of Things (IoT) K1 Wake Up Radio (WuR) SP 147 OP 149 LK http://dx.doi.org/https://doi.org/10.1109/BlackSeaCom58138.2023.10299765 DO https://doi.org/10.1109/BlackSeaCom58138.2023.10299765 SF ELIB - SuUB Bremen
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