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Algorithmics of Wireless Networks : 18th International Symposium on Algorithmics of Wireless Networks, ALGOSENSORS 2022, Potsdam, Germany, September 8–9, 2022, Proceedings / edited by Thomas Erlebach, Michael Segal.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

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Format:
Book
Author/Creator:
Erlebach, Thomas, author.
Segal, Michael, author.
Series:
Lecture Notes in Computer Science, 1611-3349 ; 13707
Language:
English
Subjects (All):
Algorithms.
Computer engineering.
Computer networks.
Artificial intelligence.
Design and Analysis of Algorithms.
Computer Engineering and Networks.
Artificial Intelligence.
Local Subjects:
Design and Analysis of Algorithms.
Computer Engineering and Networks.
Artificial Intelligence.
Physical Description:
1 online resource (161 pages)
Edition:
1st ed. 2022.
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2022.
Summary:
This book constitutes the refereed proceedings of the 18th International Symposium on Algorithmics of Wireless Network, ALGOSENSORS 2022, which took place in Potsdam, Germany in September 2022. The 10 full papers presented in this volume were carefully reviewed and selected from 21 submissions. ALGOSENSORS is an international symposium dedicated to algorithmic aspects of wireless networks.
Contents:
On Geometric Shape Construction via Growth Operations
Optimal and Heuristic Algorithms for Data Collection by Using an Energy- and Storage-Constrained Drone
Blackout-tolerant Temporal Spanners
Molecular robots with chirality on grids
Centralised Connectivity-Preserving Transformations by Rotation: 3 Musketeers for all Orthogonal Convex Shapes
Triangle Evacuation of 2 Agents in the Wireless Model
Resource time-sharing for IoT applications with deadlines
Fault-Tolerant Graph Realizations in the Congested Clique
The Complexity of Growing a Graph
Dispersing Facilities on Planar Segment and Circle Amidst Repulsion.
Other Format:
Print version: Erlebach, Thomas Algorithmics of Wireless Networks
ISBN:
9783031220500
3031220501

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