TY - GEN N2 - This book constitutes revised selected papers from the 17th International Symposium on Algorithms and Experiments for Wireless Sensor Networks, ALGOSENSORS 2021, held in Lisbon, Portugal*, in September 2021. The 10 full papers presented in this volume were carefully reviewed and selected from 28 submissions. ALGOSENSORS is an international symposium dedicated to the algorithmic aspects of wireless networks. *The conference was held virtually due to the COVID-19 pandemic. DO - 10.1007/978-3-030-89240-1 DO - doi AB - This book constitutes revised selected papers from the 17th International Symposium on Algorithms and Experiments for Wireless Sensor Networks, ALGOSENSORS 2021, held in Lisbon, Portugal*, in September 2021. The 10 full papers presented in this volume were carefully reviewed and selected from 28 submissions. ALGOSENSORS is an international symposium dedicated to the algorithmic aspects of wireless networks. *The conference was held virtually due to the COVID-19 pandemic. T1 - Algorithms for sensor systems :17th International Symposium on Algorithms and Experiments for Wireless Sensor Networks, ALGOSENSORS 2021, Lisbon, Portugal, September 9-10, 2021, Proceedings / DA - 2021. CY - Cham : AU - Gąsieniec, Leszek. AU - Klasing, Ralf. AU - Radzik, Tomasz. VL - 12961 CN - TK7872.D48 PB - Springer, PP - Cham : PY - 2021. N1 - "The symposium was run online on the originally set dates of September 9-10, 2021 ..." N1 - Includes author index. ID - 1440720 KW - Wireless sensor networks KW - Computer algorithms KW - Ad hoc networks (Computer networks) KW - Réseaux de capteurs sans fil KW - Algorithmes KW - Réseaux ad hoc (Réseaux d'ordinateurs) SN - 9783030892401 SN - 3030892409 TI - Algorithms for sensor systems :17th International Symposium on Algorithms and Experiments for Wireless Sensor Networks, ALGOSENSORS 2021, Lisbon, Portugal, September 9-10, 2021, Proceedings / LK - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-89240-1 UR - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-89240-1 ER -