Now showing 1 - 10 of 27
  • Publication
    Exploiting multi-agent systems in realizing adaptivity in the mobile tourist domain
    Ongoing developments in an array of mobile computing technologies have rendered the deployment of intelligent agents feasible on lightweight computational devices such as mobile phones. This development extends the Multi-Agent System (MAS) paradigm to a new frontier, opening up significant avenues of research in intelligent mobile computing, amongst others. To demonstrate the potential of this approach, the practical realization of adaptivity in two classic agent-based mobile computing applications is considered. Though focusing on the tourist domain, it is contended that the approach adopted is generalisable to a broad category of mobile computing applications.
      1411Scopus© Citations 4
  • Publication
    Semantic network management for next-generation networks
    To accommodate the proliferation of heterogeneous network models and protocols, the use of semantic technologies to enable an abstract treatment of networks is proposed. Network adapters are employed to lift network specific data into a semantic representation. Semantic reasoning integrates the disparate network models and protocols into a common data model by making intelligent inferences from low-level network and device details. Automatic discovery of new devices, monitoring of device state, and invocation of device actions in a generic fashion that is agnostic of network types is enabled. A prototype system called SNoMAC is described that employs the proposed approach operating over UPnP, TR-069, and heterogeneous sensors. These sensors are integrated by means of a sensor middleware named SIXTH that augments the capabilities of SNoMAC to allow for intelligent management and configuration of a wide variety of sensor devices. A major benefit of this approach is that the addition of new models, protocols, or sensor types merely involves the development of a new network adapter based on an ontology. Additionally, the semantic representation of the network and associated data allows for a variety of client interfaces to facilitate human input to the management and monitoring of the system.
      9Scopus© Citations 4
  • Publication
    Advances in pervasive health
    Pervasive Health seeks to harness developments in pervasive computing technologies and harness them in the health domain. This domain may be interpreted in its widest possible sense, including the medical aspect both physical and mental, but also that of care management, education, community and occupational health. Such is the potential of pervasive computing technologies that the domain of pervasive health itself may ultimately fracture into a number of specialised domains, as the potential of the technology is being increasingly realised in practice. Indeed, this is already occurring with increased research activity being directed towards Ambient Assisted Living (AAL) in response to ongoing societal aging patterns
      319Scopus© Citations 1
  • 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 maximizing 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 an 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 optimization, 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 IPM as an exemplar.
      874Scopus© Citations 11
  • 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.
      6023Scopus© Citations 71
  • 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.
      893Scopus© Citations 11
  • Publication
    Embedding intelligent decision making within complex dynamic environments
    Decision-making is a complex and demanding process often constrained in a number of possibly conflicting dimensions including quality, responsiveness and cost. This paper considers in situ decision making whereby decisions are effected based upon inferences made from both locally sensed data and data aggregated from a sensor network. Such sensing devices that comprise a sensor network are often computationally challenged and present an additional constraint upon the reasoning process. This paper describes a hybrid reasoning approach to deliver in situ decision making which combines stream based computing with multi-agent system techniques. This approach is illustrated and exercised through an environmental demonstrator project entitled SmartBay which seeks to deliver in situ real time environmental monitoring.
      1401Scopus© Citations 12
  • Publication
    Air quality monitoring for pervasive health
    Two monitoring projects relate to this issue's theme, "Hostile Environments": "Landslide Monitoring in the Emilia Romagna Apennines" and "Air Quality Monitoring for Pervasive Health." In addition, "Task-Driven Framework for Pervasive Computing" reports on TaskOS, a project to develop task-driven recommendation systems for pervasive computing environments.
      364Scopus© Citations 1
  • Publication
    Delivering Adaptivity through Context Awareness
    Developing applications and deploying services for mobile users raises a number of issues and challenges that must be successfully addressed before the era of truly ubiquitous computing will dawn. In particular, the desire to deploy rich multimedia applications and services is severely curtailed by the limited capabilities of the current range of mobile devices as well as the limited bandwidth of current wireless cellular networks. How best to overcome these limitations remains the focus of much research. Intelligent agents have been demonstrated as a promising solution for inherently complex and dynamic domains and their use is proposed as the basis of a solution for assembling and disseminating multimedia content to a mobile audience. Attention is particularly directed to issues concerning the adaptation of content according to the end-user physical context and their personal profile or model.
      595Scopus© Citations 18
  • Publication
    The application of cluster analysis in geophysical data interpretation
    A clustering algorithm which is based on density and adaptive density-reachable is developed and presented for arbitrary data point distributions in some real world applications, especially in geophysical data interpretation. Through comparisons of the new algorithm and other algorithms, it is shown that the new algorithm can reduce the dependency of domain knowledge and the sensitivity of abnormal data points, that it can improve the effectiveness of clustering results in which data are distributed in different shapes and different density, and that it can get a better clustering efficiency. The application of the new clustering algorithm demonstrates that data mining techniques can be used in geophysical data interpretation and can get meaningful and useful results, and that the new clustering algorithm can be used in other real world applications.
      4638Scopus© Citations 24