Now showing 1 - 10 of 24
  • Publication
    Implicit interaction : a prerequisite for practical AmI
    Intelligent User Interfaces represent one of the three distinguishing characteristics of AmI environments. Such interfaces are envisaged as mediating between the services available in an arbitrary physical environment and its inhabitants. To be effective, such interfaces must operate in both proactive and passive contexts, implicitly and explicitly anticipating and responding to user requests. In either case, an awareness of the prevailing situation is essential – a process that demands a judicious combination of data and decision fusion, as well as collaborative and centralized decision making. Given the constraints of AmI environments realizing a distributed lightweight computational infrastructure augmented with a need to address user needs in a timely manner poses significant challenges. In this paper, various issues essential to enabling seamless, intuitive and instinctive interaction in AmI environments are explored.
  • 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
    Intelligent agile agents: active enablers for ambient intellgence
    This paper advocates the use of mobile intentional agents as a key enabler in the delivery of ambient intelligence. Ambient computing as an ideal demands levels of functional attainment that have hithertofar not been realised. Ambient applications demand that the computing application be subsumed into the everyday context in an unobtrusive manner with interaction modalities such that they are natural, simple and appropriate to both the individual user and their associated context.
  • Publication
    Managing diversity in practical ambient assisted living ecosystems
    Though the motivation for developing ambient assisted living (AAL) systems is incontestable, significant challenges exist in realizing the ambience that is essential to the success of such systems. By definition, an AAL system must be omnipresent, tracking occupant activities in the home and identifying those situations where assistance is needed or would be welcomed. Embedded sensors offer an attractive mechanism for realizing ambience as their form factor and harnessing of wireless technologies aid in their seamless integration into pre-existing environments. However, the heterogeneity of the end-user population, their disparate needs and the differing environments in which they inhabit, all pose particular problems regarding sensor integration and management.
  • 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.
  • Publication
    Towards evolutionary ambient assisted living systems
    Ambient Assisted Living (AAL) is advocated as technological solutions that will enable the elderly population maintain their independence for a longer time than would otherwise be the case. Though the facts motivating the need for AAL are indisputable, the inherently heterogeneous nature and requirements of the elderly population raise significant difficulties. One particular challenge is that of designing AAL systems that can evolve to meet the requirements of individuals as their needs and circumstances change. This demands the availability of an adaptive, open, scalable software platform that incorporates a select combination of autonomic and intelligent techniques. Given that the first generation of AAL systems will be deployed in the near future, it is incumbent on designers to factor this need for evolution and adaptivity in their designs and implementations. Thus this paper explores AAL from a number of prospective and considers an agent-based middleware approach to realising an architecture for evolutionary AAL.
      6019Scopus© Citations 71
  • Publication
    Agent-based coordination for the sensor web
    The approach described advocates the use of a multi-agent system, and specifically the use of multi-agent distributed constraint optimisation algorithms. Developing software for low powered sensing devices introduces several problems to be addressed; the most obvious being the limited computational resources available. In this paper we discuss an implementation of ADOPT, a pre-existing algorithm for distributed constraint optimisation, and describe how it has been integrated with a reflective agent platform developed for resource constrained devices, namely Agent Factory Micro Edition (AFME). The usefulness of this work is illustrated through the canonical multi-agent coordination problem, namely graph colouring.
      16057Scopus© Citations 2
  • Publication
    Coordinated intelligent power management and the heterogeneous sensing coverage problem
    One of the most important factors to be considered when developing an application for a Wireless Sensor Network (WSN) is its power consumption. Intelligent Power Management (IPM) for a WSN is crucial in maximising the operational longevity. An established regime for achieving this is through the opportunistic hibernation of redundant nodes. Redundancy, however, has various definitions within the field of WSNs and indeed multiple protocols, each operating using a different definition, coexist on the same node. In this paper, we advocate the use of a MAS as an appropriate mechanism by which different stake-holders, each desiring to hibernate a node in order to conserve power, can collaborate. The problem of node hibernation for the heterogeneous sensing coverage areas is introduced and the manner by which it can be solved using ADOPT, an algorithm for distributed constraint optimisation, is described. We illustrate that the node hibernation strategy discussed here is more useful than the traditional stack-based approach and motivate our discussion using intelligent power management as an exemplar.
      619Scopus© Citations 11
  • Publication
    Virtual sensor networks : an embedded agent approach
    Many documented instances of existing research on Wireless Sensor Networks (WSN) use deployments that either fall short of, or barely meet, the resource requirements of the application. In this paper, it is envisaged that future WSN deployments will far exceed the resource requirements of any one single application. In a similar fashion to the use of virtual machines on a mainframe, sub-networks of adequate resources will be carved out of the entire deployment to fulfil the requirements of multiple applications. These will be hosted simultaneously on the network, and in many cases, certain WSN nodes will form a component in a number of these Virtual Sensor Networks (VSN). Such VSNs will also be dynamic in nature, adapting resources as nodes go offline. An additional requirement of such networks will be to engage in opportunistic power management, such as node hibernation, while the networks are adapting. In this paper, a solution for both of these issues is proposed, underpinned by a Multi-Agent System (MAS) resident on individual nodes. This solution facilitates both the practical operation of adaptive VSNs, while ensuring aggregate energy consumption can be minimised.
      2599Scopus© Citations 14
  • 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.
      1137Scopus© Citations 3