Issues
12

EAI Endorsed Transactions on Ubiquitous Environments

Editor(s)-in-Chief: Krishna M. Sivalingam

This journal will provide a venue for publishing the latest research and developments in the area of ubiquitous environments. Marc Weiser’s original vision of an ubiquitous computing environment may not be fully realized yet. However, several significant strides have been made in the past decade in…

This journal will provide a venue for publishing the latest research and developments in the area of ubiquitous environments. Marc Weiser’s original vision of an ubiquitous computing environment may not be fully realized yet. However, several significant strides have been made in the past decade in bringing us closer to realizing this vision. The journal will deal with contributions in the topics of smart spaces with ambient intelligence where sensors in the environment help a system to appropriately react to people, context-aware pervasive computing systems where the current context enables the system to guide the user’s tasks, home area networking systems that can intelligently monitor, track and control a home’s environment, and vehicular sensor networks, where a collection of sensors monitor and control the vehicle’s well-being. The journal in particular welcomes contributions that deal with the various aspects of computing and communications that help achieve this goal. These include Ubiquitous Environments Infrastructure Design and Implementation, Operating Systems and Programming Environments for Smart Mobile Devices, Embedded Systems and Networking Support for Ubiquitous Environments, Middleware, Security and Privacy Support for Ubiquitous Environments, and Hardware/Software Co-design principles. Papers that describe innovative applications and test-beds that demonstrate the utility of ubiquitous environments, and tools that enable development of novel applications are also welcome.

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Submission Instructions
Publisher
ICST
ISSN
2032-9377
Published
14th Nov 2012

  • Towards energy-aware semantic publish/subscribe for wireless embedded systems

    Research Article in EAI Endorsed Transactions on Ubiquitous Environments 12(10-12): e1

    Davy Preuveneers, Yolande Berbers

    Abstract
    In this article, we present our lightweight semantic publish/subscribe system C-SemPS that is targeted towards wireless battery-powered embedded systems in ubiquitous computing environments. The ke…In this article, we present our lightweight semantic publish/subscribe system C-SemPS that is targeted
    towards wireless battery-powered embedded systems in ubiquitous computing environments. The key
    challenge that we address is the minimization of the overall energy consumption, which involves
    computational aspects for semantic subscription matching, and communication aspects for the delivery of
    the publications as events in a wireless network. Our pub/sub system relies on a compact mathematical
    representation of the semantic subscriptions and publications, as well as fast semantic matching and routing
    algorithms. From an energy efficiency point of view, it favors computation over the more expensive wireless
    communication for the semantic matching and routing of events. When compared to more conventional
    pub/sub routing implementations, experimental results from network and energy simulations with MiXiM,
    an OMNeT++ modeling framework extension for wireless and mobile networks, show that our approach for
    routing semantic events significantly reduces energy consumption.
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  • Reduced Context Consistency Diagrams for Resolving Inconsistent Data

    Research Article in EAI Endorsed Transactions on Ubiquitous Environments 12(10-12): e2

    Viktoriya Degeler, Alexander Lazovik

    Abstract
    The ability of pervasive context-aware systems to perform efficiently relies on their ability to gather full and unambiguous information about the environment. But raw data collected from sensors is…The ability of pervasive context-aware systems to perform efficiently relies on their ability to gather full
    and unambiguous information about the environment. But raw data collected from sensors is often noisy,
    imprecise and corrupted, which leads to inconsistencies and conflicts in gathered data. Also environment is
    only partially observable, thus allowing ambiguities in the knowledge about its state. In the paper we present
    reduced context consistency diagrams (RCCD), data structures that allow to store the information about the
    environment even with the presence of inconsistencies, conflicts, and ambiguities. We provide a mechanism
    for reasoning about the current situation using these diagrams, and show how to obtain information about the
    most probable situation at each moment of time. The case study shows the 50% reduction in incorrect sensor
    readings. The evaluation shows RCCD to be applicable to real-time context inference problems.
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