Cooperative robots and sensor networks
著者
書誌事項
Cooperative robots and sensor networks
（Studies in computational intelligence, 507,
Springer, c2014-
- 2015
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注記
Editors of 2015: Anis Koubâa, J. Ramiro Martínez-de Dios
Includes bibliographical references
内容説明・目次
- 巻冊次
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2015 ISBN 9783319182988
内容説明
This book compiles some of the latest research in cooperation between robots and sensor networks. Structured in twelve chapters, this book addresses fundamental, theoretical, implementation and experimentation issues. The chapters are organized into four parts namely multi-robots systems, data fusion and localization, security and dependability, and mobility.
目次
Part I. Multi-Robots Systems.- Part II. Data Fusion, Localization and Mapping.- Part III. Security and Dependability.- Part IV. Mobility.
- 巻冊次
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ISBN 9783642393006
内容説明
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.
目次
Gustavo Medeiros de Araujo, A.R. Pinto, J org Kaiser, and Leandro Buss Becker, Genetic Machine Learning Approach for Link Quality Prediction in Mobile Wireless Sensor Networks.- Bernardo Ordonez, Ubirajara F. Moreno, Jes Cerqueira, and Luis Almeida Generation of trajectories using predictive control for tracking consensus with sensing and connectivity constraint.- Balajee Kannan, Nisarg Kothari, Chet Gnegy, Hend Gedaway, M. Freddie Dias and M. Bernardine Dias Localization, Route Planning, and Smartphone Interface for Indoor Navigation.- Dongsik Chang, Xiaolin Liang, Wencen Wu, Catherine R. Edwards, and Fumin Zhang Real-time Modeling of Ocean Currents for Navigating Underwater Glider Sensing Networks.- Maissa Ben Jamaa, Anis Koubaa, Nouha Baccour, Yasir Kayani, Khaled Al-Shalfan, and Mohamed Jmaiel EasyLoc: Plug-and-Play RSS-based Localization in Wireless Sensor Networks.
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