Cooperative robots and sensor networks
- Anis Koubâa, Abdelmajid Khelil, editors.
- text file
- Heidelberg : Springer, [2013?]
- Copyright notice
- Physical description
- 1 online resource (x, 98 pages) : illustrations
- Studies in computational intelligence ; v. 507.
- Includes bibliographical references.
- Genetic Machine Learning Approach for Link Quality Prediction in Mobile Wireless Sensor Networks / Gustavo Medeiros de Araújo, A.R. Pinto, Jörg Kaiser and Leandro Buss Becker
- Generation of Trajectories Using Predictive Control for Tracking Consensus with Sensing and Connectivity Constraint / Bernardo Ordoñez, Ubirajara F. Moreno, Jés Cerqueira and Luis Almeida
- Localization, Route Planning, and Smartphone Interface for Indoor Navigation / Balajee Kannan, Nisarg Kothari, Chet Gnegy, Hend Gedaway, M. Freddie Dias and M. Bernadine Dias
- Real-Time Modeling of Ocean Currents for Navigating Underwater Glider Sensing Networks / Dongsik Chang, Xiaolin Liang, Wencen Wu, Catherine R. Edwards and Fumin Zhang
- EasyLoc: Plug-and-Play RSS-Based Localization in Wireless Sensor Networks / Maissa Ben Jamâa, Anis Koubâa, Nouha Baccour, Yasir Kayani, Khaled Al-Shalfan and Mohamed Jmaiel.
- 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.
- Publication date
- Copyright date
- Studies in Computational Intelligence, 1860-949X ; volume 507
- 9783642393013 (electronic bk.)
- 3642393012 (electronic bk.)
- 3642393004 (print)
- 9783642393006 (print)