Now showing 1 - 10 of 30
  • Publication
    Engineering ambient visual sensors
    Visual sensors are an indispensable prerequisite for those AmI environments that require a surveillance component. One practical issue concerns maximizing the operational longevity of such sensors as the operational lifetime of an AmI environment itself is dependent on that of its constituent components. In this paper, the intelligent agent paradigm is considered as a basis for managing a camera collective such that the conflicting demands of power usage optimization and system performance are reconciled.
  • Publication
    Embedding Agents within Ambient Intelligent Applications
    This chapter reflects upon the challenges that confront the deployment of Ambient Intelligence (AmI) applications. Ambient Intelligence demands that everyday artefacts be imbued with intelligent reasoning capabilities together with the capacity for collaborative intelligent behaviour. Traditional ambient devices do not provide the requisite computational platform to support such requirements. With the ongoing developments of ubiquitous devices, however, the situation is changing. This chapter discusses a software stack, which supports the needs of ambient applications that incorporate embedded intelligence.
  • Publication
    Social Choice in Sensor Networks
    (WAITS 2012 Workshop, 2012-08) ;
    In this position statement, we argue for the use of online algorithms for social choice and group decision making in sensor networks whereby self-interested agents socially maximize their utility and preferences, which are based on variable network state. Specifically, we consider the nondictatorship principle of Arrow’s Impossibility Theorem and discuss this in the context of the Schulze voting method.
  • Publication
    An agent-based domestic electricity consumption advisory system
    This paper introduces an agent-based domestic electricity consumption advisory system. It reflects upon the diffculties of realizing the ubiquitous sensing vision which underpins such systems. It advocates the need for an effective middleware which will support the evolution of heterogeneous, distributed, collaborative intelligent sensing artifacts. To this end, it introduces the SIXTH Middleware.
  • Publication
    An agent-based architecture for wireless bus travel assistants
    Multi-agent systems are open and extensible systems that allow for the deployment of autonomous and proactive software components. This paper describes how a multi-agent architecture has been developed to extend a previously implemented bus travel assistant prototype called Bus Catcher [2]. Such a system was developed to provide accurate information about bus locations and arrival times to Dublin Bus users. The new version of the system is more flexible and easily extensible as it relies on generic agents responsible for channeling context sensitive services. New features have also been added to the system, including user profiling and monitoring of available hardware/service characteristics
  • Publication
    EDLA tradeoffs for wireless sensor network target tracking
    The number of active nodes in a WSN deployment governs both the longevity of the network and the accuracy of applications using the network’s data. As node hibernation techniques become more sophistocated, it is important that an accurate evaluation methodology is employed to ensure fair comparisons across different techniques. Examining both energy and accuracy ensures a claim of increased longevity for a particular technique can be contrasted against its associated drop, if any, in application accuracy. This change can also be as a result of increased latency and the accuracy encapsulates many aspects of WSN performance in one metric. In this work, we detail the first in a series of simulation experiments designed to demonstrate the tradeoffs for a WSN and we employ mobility tracking as the application to benchmark accuracy. Additionally, we demonstrate experimental evidence for a potential adaptive mobility tracking protocol.
  • Publication
    Realising an Agent-oriented middleware for Heterogeneous Sensor Networks
    Classic computing systems are characterised by heterogeneity, with its inherent advantages and disadvantages. This raises a number of difficulties for software engineers. The vision offered by a mix-and-match approach is an attractive one, though its practical realisation comes at a cost, as the process of integration is rarely smooth. This scenario will be repeated as Wireless Sensor Networks are increasingly incorporated into mainstream computing. One potential paradigm for managing this heterogeneity is that of intelligent agents. This paper considers the viability and potential of lightweight agents as a paradigm for harnessing the potential of heterogeneous wireless sensor networks.
      1082Scopus© Citations 3
  • Publication
    Sos: Accomodation on the fly with ACCESS
    This paper introduces Sos, a location aware and context -sensitive accommodation finding service for mobile citizens who require help finding somewhere to stay when they arrive at their chosen destination. Specifically, Sos helps users to find and book hotel accommodation that is most appropriate to their current context. This context combines the users’ current location, personal preferences, hotel availability and agenda (e.g. business meeting, tour of city). Sos has been realized as an agent-based application that has been deployed using the Agents Channelling ContExt Sensitive Services (ACCESS) architecture, an open agentbased architecture that supports the development and deployment of multiple heterogeneous context -sensitive services.
  • Publication
    Ambience & collaboration embedded agents in a human-centered world
    Supporting people in the pursuit of their everyday activities is a laudable objective and one which researchers in various disciplines including computing, actively seek to accomplish. The dynamic nature of the end-user community, the environments in which they operate, and the multiplicity of tasks in which they engage in, all seem to conspire against the desired objective of providing services to the end-user community in a transparent, intuitive and context -aware fashion. Indeed, this inherent complexity raises fundamental problems for software engineers as they frequently lack the tools to effectively model the various scenarios that dynamic user behaviour give rise to. This difficulty is not limited to exotic applications or services; rather, it is characteristic of situations where a number of factors must be identified, interpreted, and reconciled such that an accurate model of the prevailing situation at a given moment in time can be constructed. Only in this way, can services be delivered that take into account the prevailing human, social, environmental and technological conditions. Constructing such services calls for a software solution that exhibits, amongst others, diffusion, autonomy, cooperation and intelligence. In this paper, the potential of embedded agents for realising such solutions is explored.