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Studies in Computational Intelligence

Cooperative Robots and Sensor Networks

Editors: Koubaa, Anis, Khelil, Abdelmajid (Eds.)

  • Recent research in Cooperative Robots and Sensor Networks
  • Includes selected best papers of the International Workshop on Cooperative Robots and Sensor Networks (RoboSense) as well as other peer-reviewed invited chapters
  • Written by leading experts in the field
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  • Due: October 14, 2016
  • ISBN 978-3-662-51260-9
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About this book

Mobile robots and Wireless Sensor Networks (WSNs) have enabled great potentials and a large space for ubiquitous and pervasive applications. Robotics and WSNs have mostly been considered as separate research fields and little work has investigated the marriage between these two technologies. However, these two technologies share several features, enable common cyber-physical applications and provide complementary support to each other. The primary objective of book is to provide a reference for cutting-edge studies and research trends pertaining to robotics and sensor networks, and in particular for the coupling between them.

The book consists of five chapters. The first chapter presents a cooperation strategy for teams of multiple autonomous vehicles to solve the rendezvous problem. The second chapter is motivated by the need to improve existing solutions that deal with connectivity prediction, and proposed a genetic machine learning approach for link-quality prediction. The third chapter presents an architecture for indoor navigation using an Android smartphone for guiding a variety of users, from sighted to the visually impaired, to their intended destination. In chapter four, the authors deal with accurate prediction modeling of ocean currents for underwater glider navigation. In chapter five, the authors discuss the challenges and limitations of RSS-based localization mechanisms and propose, EasyLoc, an autonomous and practical RSS-based localization technique that satisfies ease of deployment and implementation.

 

 

Table of contents (5 chapters)

  • Genetic Machine Learning Approach for Link Quality Prediction in Mobile Wireless Sensor Networks

    Araújo, Gustavo Medeiros de (et al.)

    Pages 1-18

  • Generation of Trajectories Using Predictive Control for Tracking Consensus with Sensing and Connectivity Constraint

    Ordoñez, Bernardo (et al.)

    Pages 19-37

  • Localization, Route Planning, and Smartphone Interface for Indoor Navigation

    Kannan, Balajee (et al.)

    Pages 39-59

  • Real-Time Modeling of Ocean Currents for Navigating Underwater Glider Sensing Networks

    Chang, Dongsik (et al.)

    Pages 61-75

  • EasyLoc: Plug-and-Play RSS-Based Localization in Wireless Sensor Networks

    Jamâa, Maissa Ben (et al.)

    Pages 77-98

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-642-39301-3
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-642-39300-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: October 14, 2016
  • ISBN 978-3-662-51260-9
  • Free shipping for individuals worldwide
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Cooperative Robots and Sensor Networks
Editors
  • Anis Koubaa
  • Abdelmajid Khelil
Series Title
Studies in Computational Intelligence
Series Volume
507
Copyright
2014
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-39301-3
DOI
10.1007/978-3-642-39301-3
Hardcover ISBN
978-3-642-39300-6
Softcover ISBN
978-3-662-51260-9
Series ISSN
1860-949X
Edition Number
1
Number of Pages
X, 98
Number of Illustrations and Tables
51 b/w illustrations
Topics