Title | ||
---|---|---|
Applications of an Ultra Low-Power Analog Wake-up Detector for Environmental IoT Networks and Military Smart Dust |
Abstract | ||
---|---|---|
Being used for synchronizing and triggering environmental and military Internet of Things (IoT) wireless networks, an ultra low power wake-up system based on frequency analysis is presented in this paper. With an average power consumption of 34μW, this wake-up detector is able to detect signals in different frequency bands, generating a separate output interrupt for each of them. Adding an additional frequency band detector only costs an additional 500nA. Applications to data retrieval in a military smart dust using a drone on a battlefield, and for activation and synchronization of a environmental wireless sensor network are presented. This later uses a multi-frequency light pulses burst propagation algorithm for triggering a whole wireless sensor network in harsh conditions such as a dense rain forest in 50ms, and for synchronizing it with a timing precision of less than 20μs in a large network. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/IOTAIS.2018.8600893 | 2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS) |
Keywords | Field | DocType |
environmental wireless sensor network,multifrequency light pulses,ultra low-power analog wake-up detector,environmental IoT networks,military smart dust,triggering environmental Internet,ultra low power wake-up system,frequency analysis,average power consumption,activation,synchronization,frequency band detector,military Internet of Things wireless networks,power 34.0 muW,current 500.0 nA,time 50.0 ms | Interrupt,Wireless network,Computer science,Frequency band,Intelligent sensor,Synchronizing,Computer network,Detector,Electrical engineering,Wireless sensor network,Low-power electronics | Conference |
ISBN | Citations | PageRank |
978-1-5386-7359-1 | 0 | 0.34 |
References | Authors | |
6 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Manon Fourniol | 1 | 2 | 1.13 |
Valentin Gies | 2 | 1 | 0.75 |
Valentin Barchasz | 3 | 2 | 1.13 |
Edith Kussener | 4 | 31 | 9.16 |
Hervé Glotin | 5 | 309 | 45.05 |