PCNG 2015 - Elsevier "Pervasive Computing: Next Generation Platforms for Intelligent Data Collection"

Pervasive Computing: Next Generation Platforms for Intelligent Data Collection
Morgan Kaufmann / Elsevier, in Book Series "Intelligent Data-Centric Systems"
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Chapter Proposal Submission Due Date: 20 April 2015.
Editors of the Elsevier Book "Pervasive Computing: Next Generation Platforms for Intelligent Data Collection" invite submissions containing Original, High Quality Ideas that are relevant to the SCOPE OF THE BOOK.
The chapter proposal may kindly be sent in PDF or Word format.
Introduction
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Pervasive computing (also called ubiquitous computing) is a growing trend towards embedding devices into everyday objects so they can communicate information. As a field of research, it relies on the convergence of wireless technologies, advanced electronics and the Internet, and brings in revolutionary paradigms for computing models in the 21st century. Tremendous developments in such technologies as wireless communications and networking, mobile computing and handheld devices, embedded systems, wearable computers, sensors, RFID tags, smart spaces, middleware and software agents, and the like, have led to the evolution of pervasive computing platforms as natural successor of mobile computing systems. However, being a relatively young area of research, pervasive computing still has a lot of open problems. The type of the received sensor data can change together with the dynamics of the participating devices. Moreover the quality of the data, in terms of accuracy, latency and availability may vary with the mobility of devices, or with the dynamics of the environment. Creating a data system that deals with missing or erroneous data in an adaptive and scalable manner is a key factor in the construction of robust pervasive systems. Security and privacy of individuals also need to be ensures (e.g., recording the location at any given time can go against a user's wishes). The time it takes for the data to reach its destination must be kept under minimum (data could be useful only for a few minutes or hours), or data makes sense only in the context of certain events. Thus, networking technologies to support efficient and smart data collection processes need to be designed. Applications need to include the necessary levels of context-aware intelligence.
Objective of the Book
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A revolution is occurring today in terms of how pervasive computing hardware is designed, prototyped, and manufactured, as a broad set of researchers and users now have access to a host of digital fabrication tools and techniques that empower them to create new devices and realize new concepts more quickly, cheaply, and easily. Still, many fundamental issues in pervasive computing remain open. The book will present current advances in the field, following both theoretical and practical results. Effective pervasive computing requires appropriate ICT algorithms, architectures and platforms, having in view the advance of science in this area and the development of new and innovative connected solutions (particularly in fields such as pervasive wireless and mobile networks, Big Data and Cloud Computing, Internet of Things, and Mobile Computing). The book 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 advance research in this area.
The book aims to present advances in Pervasive Computing, concentrating around three critical technical issues: location, scale and networking. More precisely, we present research on the management of knowledge of "where", as a substitute for intelligence, technologies where one size does not fit all needs, and for providing constant connectivity (wired and wireless) for everyday devices (active badges, electronic tags, motion detectors, etc.). The contributions of the book will be organized around five themes: 1. Natural/implicit interfaces, 2. Automated capture of experiences with easy access, 3. Context-aware/sensitive interactions and applications, 4. Ubiquitous services independent of devices/platforms, and 5. Pervasive Computing and Applications.
TOPICS OF INTEREST
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Chapters should be written in a manner readable for both specialists and non-specialists.
Recommended topic areas include, but are not limited to:
Part-I Natural/implicit interfaces
1. Computer interfaces as devices as interaction tools
2. Ambient, invisible, implicit, and adaptive computing
3. Algorithmic paradigms, models and analysis of pervasive computing systems
4. User interfaces and interaction models
5. Embedded systems and wearable computers
Part-II Automated capture of experiences with easy access
1. Autonomic computing and communications
2. Pervasive/Ubiquitous computing and communications architectures and protocols
3. Enabling technologies (e.g., Bluetooth, BANs, PANs, 802.11 wireless LANs)
4. Wireless sensors networks and RFID technologies
5. Multiple inter-connected networking technologies (e.g., cellular, ad hoc, hybrid)
6. Positioning and tracking technologies
7. Auto-configuration and authentication
Part-III Context-aware/sensitive interactions and applications
1. Computing services tailored to the sensed environment
2. Mobile self-adaptive context-driven grid and peer-to-peer computing
3. Context-aware computing and location-based services and applications
4. Runtime support for intelligent, adaptive agents
5. (Innovative) applications requirements, performance, and benchmarking involving context awareness
6. Context-based adaptive security, privacy, fault-tolerance and resiliency
7. Smart spaces and intelligent environments
Part-IV Ubiquitous services independent of devices/platforms
1. Mobile computing systems and services
2. Service creation, discovery, management, and delivery mechanisms
3. Virtual immersion communications
4. Application layer protocols and services
5. Programming paradigms for pervasive and ubiquitous computing applications
6. Power Management in Mobile Cellular Communications (3G and Beyond)
Part-V Pervasive Computing and Applications
1. Advanced data analytics and other topics in intelligent data analysis that can support big data collected by context-driven systems
2. Use cases from business, industry, success stories in Pervasive Computing
3. Pervasive Applications for Health and Education
Chapter Proposal Submission
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Academics, researchers and practitioners are invited to submit, by email:
- chapter proposal (3-5 pages) with title, authors, chapter mission and topic(s) addressed by 20 April, 2015 and
- full chapters by 30 July 2015.
Chapters should be of around 30-35 pages in length. Authors may submit extended versions of their recent conference publication, however, it is required that the chapter submission will have additional research contribution of at least 30% new content.
The Chapter Proposal for the book (Pervasive Computing: Next Generation Platforms for Intelligent Data Collection) may kindly be sent to the editors, by email. All chapters will be reviewed on a double-blind basis. The book is to be published in by Elsevier, in Book Series "Intelligent Data-Centric Systems". This publication is expected to be released in March 2016.
Important Dates
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20 April 2015: Submission of Proposal (3-5 pages)
12 April 2015: Notification of Acceptance
1 June 2015: Sample Chapter Submission
30 July 2015: Full Chapter Submission (in Word or PDF)
30 September 2015: Notification of Full Chapter Acceptance
30 October 2015: Revised Chapter Submission
Editors Contact Information
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Dr. Ciprian Dobre
E-Mail: ciprian.dobre-AT-cs.pub.ro
University Politehnica of Bucharest, Romania
Prof. Fatos Xhafa
E-Mail: fatos-AT-lsi.upc.edu
Universitat Politechnica de Catalunya, Spain