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
Editors: Fernández Anta, A., Jurdzinski, T., Mosteiro, M.A., Zhang, Y. (Eds.)
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- About this book
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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.
- Table of contents (17 chapters)
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Collaborative Delivery by Energy-Sharing Low-Power Mobile Robots
Pages 1-12
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Data Collection in Population Protocols with Non-uniformly Random Scheduler
Pages 13-25
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Parameterized Algorithms for Power-Efficient Connected Symmetric Wireless Sensor Networks
Pages 26-40
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Fast Distributed Approximation for Max-Cut
Pages 41-56
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Barrier Coverage with Uniform Radii in 2D
Pages 57-69
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Table of contents (17 chapters)
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- Algorithms for Sensor Systems
- Book Subtitle
- 13th International Symposium on Algorithms and Experiments for Wireless Sensor Networks, ALGOSENSORS 2017, Vienna, Austria, September 7-8, 2017, Revised Selected Papers
- Editors
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- Antonio Fernández Anta
- Tomasz Jurdzinski
- Miguel A. Mosteiro
- Yanyong Zhang
- Series Title
- Computer Communication Networks and Telecommunications
- Series Volume
- 10718
- Copyright
- 2017
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing AG
- eBook ISBN
- 978-3-319-72751-6
- DOI
- 10.1007/978-3-319-72751-6
- Softcover ISBN
- 978-3-319-72750-9
- Edition Number
- 1
- Number of Pages
- X, 237
- Number of Illustrations
- 50 b/w illustrations
- Topics
