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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 Approximation Algorithms for Wireless Spectrum Allocation with Power Control
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    Chapter 2 Geometric Computing over Uncertain Data
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    Chapter 3 Packing Resizable Items with Application to Video Delivery over Wireless Networks
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    Chapter 4 Symmetric Connectivity with Directional Antennas
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    Chapter 5 Comparative Study of Approximation Algorithms and Heuristics for SINR Scheduling with Power Control
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    Chapter 6 Approximating Barrier Resilience for Arrangements of Non-identical Disk Sensors
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    Chapter 7 A Unified View to Greedy Geometric Routing Algorithms in Ad Hoc Networks
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    Chapter 8 Big Data Interpolation an Efficient Sampling Alternative for Sensor Data Aggregation
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    Chapter 9 Mapping a Polygon with Holes Using a Compass
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    Chapter 10 Metric Dimension for Gabriel Unit Disk Graphs Is NP-Complete
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    Chapter 11 Pseudo-scheduling: A New Approach to the Broadcast Scheduling Problem
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    Chapter 12 Self-stabilizing TDMA Algorithms for Dynamic Wireless Ad-Hoc Networks
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    Chapter 13 Complexity of Connectivity in Cognitive Radio Networks through Spectrum Assignment
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    Chapter 14 On Some Bounds on the Optimum Schedule Length in the SINR Model
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    Chapter 15 Polynomial Time Approximation Algorithms for Localization Based on Unknown Signals
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Mentioned by

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2 Wikipedia pages

Readers on

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52 Mendeley
Summary Wikipedia
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Title
Algorithms for Sensor Systems
Published by
Springer Berlin Heidelberg, January 2013
DOI 10.1007/978-3-642-36092-3
ISBNs
978-3-64-236091-6, 978-3-64-236092-3
Editors

Bar-Noy, Amotz, Halldórsson, Magnús M.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 2%
Unknown 51 98%
Readers by discipline Count As %
Unknown 52 100%

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