KI-Beratung Beta

Produktbild: Theoretical Aspects of Distributed Computing in Sensor Networks
- 10%

Theoretical Aspects of Distributed Computing in Sensor Networks

10% sparen

95,99 € UVP 106,99 €

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

23.08.2016

Abbildungen

XVI, 914 p.

Herausgeber

Sotiris Nikoletseas + weitere

Verlag

Springer Berlin

Seitenzahl

914

Maße (L/B/H)

23,5/15,5/4,7 cm

Gewicht

1551 g

Auflage

Softcover reprint of the original 1st ed. 2011

Sprache

Englisch

ISBN

978-3-662-51939-4

Beschreibung

Rezension

From the reviews:

“Sensor networks are more complex than ordinary networks because they are numerous, energy constrained, and mostly wireless. Therefore, studies on sensor networks span various disciplines. This book covers a lot of ground in sensor network research. … It consists of 27 self-contained papers, each of which is dedicated to a special topic in sensor networks. Readers with various interests can grab what they want from this book. … Overall, the book is well edited.” (R. S. Chang, ACM Computing Reviews, July, 2011)

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

23.08.2016

Abbildungen

XVI, 914 p.

Herausgeber

Verlag

Springer Berlin

Seitenzahl

914

Maße (L/B/H)

23,5/15,5/4,7 cm

Gewicht

1551 g

Auflage

Softcover reprint of the original 1st ed. 2011

Sprache

Englisch

ISBN

978-3-662-51939-4

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

Ein neues Kapitel für Ihre Bücher

Ein neues Kapitel für Ihre Bücher

Schenken Sie Ihren alten Schätzen ein zweites Leben und erhalten Sie dafür eine Thalia Geschenkkarte.

Jetzt verkaufen
Jetzt verkaufen

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)

  • Produktbild: Theoretical Aspects of Distributed Computing in Sensor Networks
  • Theme I – Challenges for Wireless Sensor Networks

    [1] Composition and Scaling Challenges in Sensor Networks: An Interaction-centric View

    Theme II – Models, Topology, Connectivity

    [2] Scheduling and Power Assignments in the Physical Model
    [3] Maintaining Connectivity in Sensor Networks Using Directional Antennae
    [4] Optimal Placement of Ad Hoc Devices Under a VCG-Style Routing Protocol
    [5] Population Protocols and Related Models
    [6] Theoretical Aspects of Graph Models for MANETs
    [7] Networked Distributed Source Coding

    Theme III – Localization, Time Synchronization, Coordination

    [8] The Spatial Smoothing Method of Clock Synchronization in Wireless Networks
    [9] Algorithmic Aspects of Sensor Localization
    [10] Spatiotemporal Context in Wireless Sensor Networks
    [11] Coordination Problems in Ad Hoc Radio Networks

    Theme IV – Data Propagation and Collection

    [12] Probabilistic Data Propagation in Wireless Sensor Networks
    [13] Oblivious Routing for Sensor Network Topologies
    [14] Scheduling Algorithms for Tree-Based Data Collection in Wireless Sensor Networks
    [15] Position-Based Routing in Wireless Ad Hoc and Sensor Networks

    Theme V – Energy Optimization

    [16] Energy Balanced Data Propagation in Wireless Sensor Networks
    [17] Dense, Concentric and Nonuniform Multihop Sensor Networks
    [18] Prolong the Lifetime of Wireless Sensor Networks Through Mobility – A General Optimization Framework

    Theme VI – Mobility Management
    [19] Information Spreading in Dynamic Networks – An Analytical Approach
    [20] Self-stabilizing and Self-organizing Virtual Infrastructures for Mobile Networks
    [21] Computing by Mobile Robotic Sensors

    Theme VII – Security Aspects

    [22] Security and Trust in Sensor Networks
    [23] Key Management in Sensor Networks
    [24] Key Predistribution in Wireless Sensor Networks When Sensors Are Within Communication Range

    Theme VIII – Tools, Applications and Use Cases

    [25] Realistic Applications for Wireless SensorNetworks
    [26] High-Level Application Development for Sensor Networks – Data-Driven Approach
    [27] Towards Integrated Real-World Sensing Environment – Applications and Challenges