Sensor Networks: 9th International Conference, SENSORNETS 2020, Valletta, Malta, February 28–29, 2020, and 10th International Conference, SENSORNETS 2021, Virtual Event, February 9–10, 2021, Revised Selected Papers: Communications in Computer and Information Science, cartea 1674
Editat de Andreas Ahrens, RangaRao Venkatesha Prasad, César Benavente-Peces, Nirwan Ansarien Limba Engleză Paperback – 27 sep 2022
The 7 full papers presented were carefully reviewed and selected from 60 submissions. They focus in all aspects of sensor networks, including hardware of sensor networks, wireless communication protocols, sensor networks software, hardware and architectures, wireless information networks, channel characterization, data manipulation, signal processing, localization and object tracking through sensor networks, modelling and simulation, applications and uses.
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Specificații
ISBN-13: 9783031177170
ISBN-10: 3031177177
Pagini: 153
Ilustrații: XI, 153 p. 95 illus., 67 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.25 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Communications in Computer and Information Science
Locul publicării:Cham, Switzerland
ISBN-10: 3031177177
Pagini: 153
Ilustrații: XI, 153 p. 95 illus., 67 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.25 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Communications in Computer and Information Science
Locul publicării:Cham, Switzerland
Cuprins
Anomaly Detection in Beehives: An Algorithm Comparison.- Evaluation of a CDM Interrogation Scheme Allowing Spectrally Overlapping FBG Sensors.- Strength Exercise Monitoring with Inertial Sensors.- Improved Wake-up Receiver Architectures with Carrier Sense Capabilities for Low-power Wireless Communication.- Seismic Sensor Network for High Density Deployments: Concept, Design, Deployment and Results.- Acquisition of EFS and Capacitive Measurement Data on Low-Power and Connected IoT Devices.- Performance Evaluation of Embedded Time Series Indexes using Bitmaps, Partitioning, and Trees.