The field of wireless networks and mobile computing is an area of very active investigation. Though, the majority of the research and development, focuses on devising efficient communication protocols so as to provide a stable communication channel to allow the information flow freely among the mobile clients. Recently, the investigation turned its interest also to the problem of providing advanced data management functionalities to the clients. In order to support data-intensive applications over the wireless medium, several techniques have been proposed addressing issues like security, quality of service, service discovery, data dissemination, location management, location-based and transactional applications. Although much has been written, especially recently, in this rapidly growing field, no other book treats problems in wireless networks from a computer science perspective, although a number of books that follow the engineering approach exist. Wireless Information Highways provides and excellent introduction and balanced coverage of the most important topics related to the methodologies developed to support data management in asymmetric communication environments. This book is based on a number of self-contained chapters and provides an opportunity for practitioners and researchers to explore the connection between various computer science techniques and develop solutions to problems that arise in the rapidly emerging field of wireless networks.
As systems continue to evolve they rely less on human decision-making and more on computational intelligence. This trend in conjunction to the available technologies for providing advanced sensing, measurement, process control, and communication lead towards the new field of Cyber-Physical System (CPS). Cyber-physical systems are expected to play a major role in the design and development of future engineering platforms with new capabilities that far exceed today’s levels of autonomy, functionality and usability. Although these systems exhibit remarkable characteristics, their design and implementation is a challenging issue, as numerous (heterogeneous) components and services have to be appropriately modeled and simulated together. The problem of designing efficient CPS becomes far more challenging in case the target system has to meet also real-time constraints.CyberPhysical Systems: Decision Making Mechanisms and Applications describes essential theory, recent research and large-scale usecases that addresses urgent challenges in CPS architectures. In particular, it includes chapters on:• Decision making for large scale CPS• Modeling of CPS with emphasis at the control mechanisms• Hardware/software implementation of the control mechanisms• Fault-tolerant and reliability issues for the control mechanisms• Cyberphysical user-cases that incorporate challenging decision making
Online social networks collect information from users' social contacts and their daily interactions (co-tagging of photos, co-rating of products etc.) to provide them with recommendations of new products or friends. Lately, technological progressions in mobile devices (i.e. smart phones) enabled the incorporation of geo-location data in the traditional web-based online social networks, bringing the new era of Social and Mobile Web. The goal of this book is to bring together important research in a new family of recommender systems aimed at serving Location-based Social Networks (LBSNs). The chapters introduce a wide variety of recent approaches, from the most basic to the state-of-the-art, for providing recommendations in LBSNs. The book is organized into three parts. Part 1 provides introductory material on recommender systems, online social networks and LBSNs. Part 2 presents a wide variety of recommendation algorithms, ranging from basic to cutting edge, as well as a comparison of the characteristics of these recommender systems. Part 3 provides a step-by-step case study on the technical aspects of deploying and evaluating a real-world LBSN, which provides location, activity and friend recommendations. The material covered in the book is intended for graduate students, teachers, researchers, and practitioners in the areas of web data mining, information retrieval, and machine learning.
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