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1 Ergebnisse
1
Wake-up Control for Energy-Efficient Anomaly Detection in W..:
, In:
2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)
,
Kawakita, Hitoshi
;
Yomo, Hiroyuki
- p. 1-5 , 2022
Link:
https://doi.org/10.1109/VTC2022-Spring54318.2022.98604..
RT T1
2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)
: T1
Wake-up Control for Energy-Efficient Anomaly Detection in Wireless Sensor Networks
UL https://suche.suub.uni-bremen.de/peid=ieee-9860441&Exemplar=1&LAN=DE A1 Kawakita, Hitoshi A1 Yomo, Hiroyuki YR 2022 SN 2577-2465 K1 Wireless sensor networks K1 Energy consumption K1 Power demand K1 Computer simulation K1 Focusing K1 Receivers K1 Energy efficiency SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/VTC2022-Spring54318.2022.9860441 DO https://doi.org/10.1109/VTC2022-Spring54318.2022.9860441 SF ELIB - SuUB Bremen
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