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Titolo: | Algorithms for Sensor Systems : 13th International Symposium on Algorithms and Experiments for Wireless Sensor Networks, ALGOSENSORS 2017, Vienna, Austria, September 7-8, 2017, Revised Selected Papers / / edited by Antonio Fernández Anta, Tomasz Jurdzinski, Miguel A. Mosteiro, Yanyong Zhang |
Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Edizione: | 1st ed. 2017. |
Descrizione fisica: | 1 online resource (X, 237 p. 50 illus.) |
Disciplina: | 005.3 |
Soggetto topico: | Algorithms |
Data structures (Computer science) | |
Computer science—Mathematics | |
Artificial intelligence | |
Computer organization | |
Algorithm Analysis and Problem Complexity | |
Data Structures | |
Discrete Mathematics in Computer Science | |
Artificial Intelligence | |
Computer Systems Organization and Communication Networks | |
Persona (resp. second.): | Fernández AntaAntonio |
JurdzinskiTomasz | |
MosteiroMiguel A | |
ZhangYanyong | |
Nota di contenuto: | Sensor networks -- Algorithms. Mobile Robots -- Distributed Systems -- Cyber Physical Systems -- Radio Networks. |
Sommario/riassunto: | This book constitutes revised selected papers from the 13th International Symposium on Algorithms and Experiments for Wireless Sensor Networks, ALGOSENSORS 2017, held in Vienna, in September 2017. The 17 full papers presented in this volume were carefully reviewed and selected from 30 submissions. ALGOSENSORS is an international symposium dedicated to the algorithmic aspects of wireless networks. Originally focused on sensor networks, it now covers algorithmic issues arising in wireless networks of all types of computational entities, static or mobile, including sensor networks, sensor-actuator networks, autonomous robots. The focus is on the design and analysis of algorithms, models of computation, and experimental analysis. |
Titolo autorizzato: | Algorithms for Sensor Systems |
ISBN: | 3-319-72751-6 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910484577503321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |