Deploying Ubiquitous Computing Applications on Heterogeneous Next Generation Networks

Deploying Ubiquitous Computing Applications on Heterogeneous Next Generation Networks

Achilles D. Kameas (Hellenic Open University and Computer Technology Institute / DAISy group, Greece)
DOI: 10.4018/978-1-60566-108-7.ch022
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Abstract

This chapter describes a human centric approach for designing and deploying ubiquitous computing applications. These are considered as activity spheres consisting of tasks which must be executed using the resources available in an Ambient Intelligence space. Such resources include objects augmented with embedded ICT components and software modules. An architectural approach and a corresponding middleware are described, which enable the management of activity spheres. Then, the communication requirements are presented and the role of heterogeneous next generation networks in supporting this architecture is discussed.
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Ami Artifacts, Environments, And Activity Spheres

The AmI environment can be considered to host several ubiquitous computing applications, which make use of the infrastructure provided by the environment and the services provided by the artifacts therein (Zaharakis, 2008). A ubiquitous computing application is considered as an orchestration of services that are accessible via the AmI environment. Usually, AmI artifacts act as service bearers; therefore, a ubiquitous computing application is manifested by a set of co-operating artifacts (Zaharakis, 2006).

Key Terms in this Chapter

Activity Sphere: A schema describing all the resources required in order to achieve a specific goal of an actor (human or agent) within an AmI space.

Ubiquitous Computing: A novel computing paradigm, which integrates among others distributed systems, embedded systems, ad-hoc (wireless) networks, middleware and user interface design. It comprises the set of computer and network based technologies used to achieve the vision of AmI.

Ambient Intelligence (AmI): The vision of Ambient Intelligence implies a seamless environment of computing, advanced networking technology and specific interfaces.

Ambient Intelligence Space (AmI space): A physical space augmented with ubiquitous computing technology. An AmI space is considered to contain sensors, actuators, networking, processing and storage capacity and offers connectivity services, location-based services, discovery services etc.

Ontology: A formal specification of a shared conceptualization. In other words, everything we know about a subject. An ontology is usually expressed as a network of classes, each of which represents a conceptual entity (i.e. a category) of the subject. Classes are connected with semantically rich relationships, while constraints may also be applied.

Middleware: Special purpose software, which masks the complexity and distribution of the nodes of a distributed system. Middleware makes available the collective capabilities of the underlying distributed system as services, which are accessible in a unified manner, regardless of the location or availability of the system nodes.

Artifact: An everyday object augmented with sensing, actuating, storage, processing, and networking capabilities. An artifact is considered to have a dual presence, both in the physical (because it is an object of the real world) and digital worlds (by publishing its services and properties on the network).

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Editorial Advisory Board
Table of Contents
Foreword
Robert A. Walker, Drew Parker
Preface
Stavros Kotsopoulos, Konstantinos Ioannou
Acknowledgment
Chapter 1
Dzmitry Kliazovich, Michael Devetsikiotis, Fabrizio Granelli
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Chapter 2
Dimitris Toumpakaris, Jungwon Lee
This chapter presents an introduction to cross-layer scheduling and resource allocation for wireless systems and an overview of some of the... Sample PDF
Cross-Layer Resource Allocation and Scheduling for Wireless Systems
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Chapter 3
Prashant Pillai
IP multicast mechanisms provide efficient bandwidth consumption and distribution of high volume contents such as audio/video streaming... Sample PDF
An AAA Framework for IP Multicast Communication in Next Generation Networks
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Chapter 4
N. Merlemis, D. Zevgolis
This chapter is an introduction of the Wavelength-division multiplexing (WDM) technologies (such as Dense WDM and coarse WDM) and their recent... Sample PDF
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Chapter 5
Sotiris Karabetsos, Spiros Mikroulis, Athanase Nassiopoulos
The high capacity offered by the optical fiber, combined with the mobility and the flexibility of wireless access, either fixed or not, provides an... Sample PDF
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Chapter 6
Konstantinos Birkos
High Altitude Stratospheric Platforms (HASPs) have gained much of attention from the scientific society and the communication industry in the recent... Sample PDF
High Altitude Stratospheric Platforms (HASPs)
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Chapter 7
Dimitrios K. Lymberopoulos
The Next Generation Network (NGN) is a very complex environment, where various parties (network operators, services and application providers... Sample PDF
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Chapter 8
Konstantinos S. Kotsopoulos
Next Generation Networks (NGNs) will accommodate heterogeneous architectures that need to be managed in order to provide services with high QoS to... Sample PDF
The Adoption of Service-Oriented Architecture (SOA) in Managing Next Generation Networks (NGNs)
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Chapter 9
Ioannis Papapanagiotou, Georgios S. Paschos
The present chapter contains a thorough investigation of Quality of Service, Energy Conservation and mobility in 802.11 and 802.16 standards.... Sample PDF
A Case Study on the QoS, Energy Consumption and Mobility of WLANs and WMANs
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Chapter 10
Panagiotis Kasimatis, Dimitra Varla
This chapter deals with the description of the various applied Mobile System Architectures, showing the evolution path towards the IP Convergence... Sample PDF
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Chapter 11
Peter Brida, Peter Cepel, Jan Duha
This chapter deals with mobile positioning in wireless heterogeneous next generation networks. Positioning process is analyzed and the chapter gives... Sample PDF
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Chapter 12
Anthony Ioannidis, Jiorgis Kritsotakis
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Chapter 13
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Modern and future wireless communication systems such as UMTS and beyond 3G systems (B3G) are expected to support very high data rates to/from... Sample PDF
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Chapter 14
Apostolos Georgiadis, Carles Fernández Prades
Multi-antenna systems incorporating smart antenna techniques present numerous advantages compared to their single antenna counterparts including... Sample PDF
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Chapter 15
Stelios A. Mitilineos, Christos N. Capsalis, Stelios C.A. Thomopoulos
Small-scale fading strongly affects the performance of a radio link; therefore radio channel simulation tools and models are broadly being used in... Sample PDF
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Chapter 16
Petros Karadimas
This chapter studies a composite stochastic model, in which the diffuse component arises from three dimensional (3-D) multipath scattering. That... Sample PDF
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Chapter 17
Anastasios Papazafeiropoulos
As a consequence of the growing interest in wireless communications systems, much effort is being devoted to the channel characterization and... Sample PDF
Channel Characterization and Modelling for Mobile Communications
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Chapter 18
Fotis C. Kitsios, Spyros P. Angelopoulos, John Zannetopoulos
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Chapter 19
Spyros P. Angelopoulos, Fotis C. Kitsios, Eduard Babulak
Telecommunications and Internet Technologies have evolved dramatically during the last decade, laying a solid foundation for the future generation... Sample PDF
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Chapter 20
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Chapter 21
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Chapter 22
Achilles D. Kameas
This chapter describes a human centric approach for designing and deploying ubiquitous computing applications. These are considered as activity... Sample PDF
Deploying Ubiquitous Computing Applications on Heterogeneous Next Generation Networks
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Chapter 23
Eduard Babulak, Konstantinos G. Ioannou, Athanasios Ioannou
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