This textbook explores the current challenges in and future prospects of context-aware pervasive systems and applications. The phenomenal advances in broadband technology and ubiquitous access to the Internet have transformed Internet computing into the Internet of Things (IoT), which is now evolving toward the Internet of Everything. Modern scientific, engineering, and business applications are increasingly dependent on machine-to-machine communication, wherein there is less human intervention. In turn, this creates a need for context-aware pervasive systems and applications in which RFID, sensors, and smartphones play a key role. The book provides an essential overview of context, context management, and how to perform context management in various use cases. In addition, it addresses context-aware computing and personalization, various architectures for context-aware systems, and security issues. The content is explained using straightforward language and easy-to-follow examples, case studies, technical descriptions, procedures, algorithms, and protocols for context-aware systems.

The concept of aware systems is among the most exciting trends in computing today, fueled by recent developments in pervasive computing, including new computers worn by users, embedded devices, smart appliances, sensors, and varieties of wireless networking technology. Context-Aware Pervasive Systems: The Architecture of a New Breed of Applications introduces a diverse set of application areas and provides blueprints for building context-aware behavior into applications. Reviewing the anatomy of context-aware pervasive applications, this resource covers abstract architecture. It examines mobile services, appliances, smart devices, software agents, electronic communication, sensor networks, security frameworks, and intelligent software agents. The book also discusses the use of context awareness for communication among people, devices, and software agents and how sensors can be aware of their own situations. Exploring the use of physical context for controlling and enhancing security in pervasive computing environments, this guide addresses mirror worlds and elucidates design perspectives based on a declarative programming language paradigm. This carefully paced volume presents a timely and relevant introduction to the emergence of context-aware systems and brings together architectures and principles of context-aware computing in one source.

Provides research developments on mobile technologies and services. Explains how users of such applications access intelligent and adaptable information services, maximizing convenience and minimizing intrusion.

Mobile Sensors and Context-Aware Computing is a useful guide that explains how hardware, software, sensors, and operating systems converge to create a new generation of context-aware mobile applications. This cohesive guide to the mobile computing landscape demonstrates innovative mobile and sensor solutions for platforms that deliver enhanced, personalized user experiences, with examples including the fast-growing domains of mobile health and vehicular networking. Users will learn how the convergence of mobile and sensors facilitates cyber-physical systems and the Internet of Things, and how applications which directly interact with the physical world are becoming more and more compatible. The authors cover both the platform components and key issues of security, privacy, power management, and wireless interaction with other systems. Shows how sensor validation, calibration, and integration impact application design and power management Explains specific implementations for pervasive and context-aware computing, such as navigation and timing Demonstrates how mobile applications can satisfy usability concerns, such as know me, free me, link me, and express me Covers a broad range of application areas, including ad-hoc networking, gaming, and photography

This book contributes to illustrating the methodological and technological issues of data management in Pervasive Systems by using the DataBenc project as the running case study for a variety of research contributions: sensor data management, user-originated data operation and reasoning, multimedia data management, data analytics and reasoning for event detection and decision making, context modelling and control, automatic data and service tailoring for personalization and recommendation. The book is organized into the following main parts: i) multimedia information management; ii) sensor data streams and storage; iii) social networks as information sources; iv) context awareness and personalization. The case study is used throughout the book as a reference example.

This volume contains the proceedings of UIC 2008, the 5th International C- ference on Ubiquitous Intelligence and Computing: Building Smart Worlds in Real and Cyber Spaces. The conference was held in Oslo, Norway, during June 23–25, 2008. The event was the ?fth meeting of this conference series. USW 2005 (First International Workshop on Ubiquitous Smart World), held in March 2005 in Taiwan, was the ?rst event in the series. This event was followed by UISW 2005 (SecondInternationalSymposiumonUbiquitousIntelligenceandSmartWorlds) held in December 2005 in Japan, by UIC 2006 (Third International Conference on Ubiquitous Intelligence and Computing: Building Smart Worlds in Real and Cyber Spaces) held in September 2006 in Wuhan and Three Gorges, China, and by UIC 2007 held in July 2007 in Hong Kong. Ubiquitous computers, networks and information are paving the road to a smart world in which computational intelligence is distributed throughout the physical environment to provide trustworthy and relevant services to people.

Pervasive Computing: Next Generation Platforms for Intelligent Data Collection presents current advances and state-of-the-art work on methods, techniques, and algorithms designed to support pervasive collection of data under ubiquitous networks of devices able to intelligently collaborate towards common goals. Using numerous illustrative examples and following both theoretical and practical results the authors discuss: a coherent and realistic image of today's architectures, techniques, protocols, components, orchestration, choreography, and developments related to pervasive computing components for intelligently collecting data, resource, and data management issues; the importance of data security and privacy in the era of big data; the benefits of pervasive computing and the development process for scientific and commercial applications and platforms to support them in this field. Pervasive computing has developed technology that allows sensing, computing, and wireless communication to be embedded in everyday objects, from cell phones to running shoes, enabling a range of context-aware applications. Pervasive computing is supported by technology able to acquire and make use of the ubiquitous data sensed or produced by many sensors blended into our environment, designed to make available a wide range of new context-aware applications and systems. While such applications and systems are useful, the time has come to develop the next generation of pervasive computing systems. Future systems will be data oriented and need to support quality data, in terms of accuracy, latency and availability. Pervasive Computing is intended as a platform for the dissemination of research efforts and presentation of advances in the pervasive computing area, and constitutes a flagship driver towards presenting and supporting advanced research in this area. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS - Offers a coherent and realistic image of today's architectures, techniques, protocols, components, orchestration, choreography, and development related to pervasive computing - Explains the state-of-the-art technological solutions necessary for the development of next-generation pervasive data systems, including: components for intelligently collecting data, resource and data management issues, fault tolerance, data security, monitoring and controlling big data, and applications for pervasive context-aware processing - Presents the benefits of pervasive computing, and the development process of scientific and commercial applications and platforms to support them in this field - Provides numerous illustrative examples and follows both theoretical and practical results to serve as a platform for the dissemination of research advances in the pervasive computing area