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Algorithms for Sensor Systems

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Cover of 'Algorithms for Sensor Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Dynamic Multi-party Computation Forever for Swarm and Cloud Computing and Code Obfuscation
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    Chapter 2 Local, Self-organizing Strategies for Robotic Formation Problems
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    Chapter 3 Local Approximation Algorithms for the Uncapacitated Metric Facility Location Problem in Power-Aware Sensor Networks
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    Chapter 4 Maximizing Network Lifetime on the Line with Adjustable Sensing Ranges
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    Chapter 5 Sensor Fusion: From Dependence Analysis via Matroid Bases to Online Synthesis
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    Chapter 6 Neighbor Discovery in a Sensor Network with Directional Antennae
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    Chapter 7 LiMoSense – Live Monitoring in Dynamic Sensor Networks
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    Chapter 8 Evader Interdiction and Collateral Damage
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    Chapter 9 Efficient Algorithms for Network Localization Using Cores of Underlying Graphs
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    Chapter 10 Minimizing Average Interference through Topology Control
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    Chapter 11 On Barrier Resilience of Sensor Networks
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    Chapter 12 Distributed (Δ + 1)-Coloring in the Physical Model
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    Chapter 13 Continuous Monitoring in the Dynamic Sensor Field Model
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    Chapter 14 Minimum-Cost Broadcast through Varying-Size Neighborcast
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    Chapter 15 Real-Time Video Streaming in Multi-hop Wireless Static Ad Hoc Networks
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    Chapter 16 Multi-hop Routing and Scheduling in Wireless Networks in the SINR Model
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    Chapter 17 Wireless Capacity with Arbitrary Gain Matrix
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    Chapter 18 On the Capacity of Oblivious Powers
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Title
Algorithms for Sensor Systems
Published by
Springer, Berlin, Heidelberg, January 2011
DOI 10.1007/978-3-642-28209-6
ISBNs
978-3-64-228208-9, 978-3-64-228209-6
Editors

Thomas Erlebach, Sotiris Nikoletseas, Pekka Orponen