Angove, Philip

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Angove, Philip
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Angove, Philip

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  • Publication
    Air quality monitoring for pervasive health
    (IEEE, 2010-10)
    Angove, Philip 
    ;
    O'Flynn, Brendan 
    ;
    Hayes, Jer 
    ;
    Diamond, Dermot 
    ;
    O'Grady, Michael J. 
    ;
    O'Hare, G. M. P. (Greg M. P.) 
    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.
      347Scopus© Citations 1
  • Publication
    A mobile gateway for remote interaction with wireless sensor networks
    (IEEE, 2011-06-09)
    Angove, Philip 
    ;
    O'Grady, Michael J. 
    ;
    Hayes, Jer 
    ;
    O'Flynn, Brendan 
    ;
    O'Hare, G. M. P. (Greg M. P.) 
    ;
    Diamond, Dermot 
    Wireless Sensor Networks (WSNs) almost invariably support a centralised network management model. Though the data gathering function is conducted remotely, such data is usually routed via data sinks to central servers for processing, storage, visualisation and interpretation. However, the issue of supporting remote access to WSNs and individual sensor nodes whilst in their physical environment has not been viewed as a priority. It is envisaged that this situation will change as WSNs proliferate in a range of domains, and the potential for supporting innovative revenue-generating services manifest themselves. As a step towards realising such access, a mobile gateway has been designed and implemented. This gateway supports Zigbee as this is the predominant protocol supported by WSNs. Furthermore, it also supports Bluetooth, thereby facilitating interaction with conventional mobile devices. The gateway is programmable according to the needs of arbitrary services and applications.
      1566Scopus© Citations 23
  • Publication
    Enabling Intelligence on a Wireless Sensor Network Platform
    (Springer, 2012-03-08)
    O'Grady, Michael J. 
    ;
    Angove, Philip 
    ;
    Magnin, W 
    ;
    O'Hare, G. M. P. (Greg M. P.) 
    ;
    O'Flynn, Brendan 
    ;
    Barton, John 
    ;
    O'Mathuna, Cian 
    Conventional Wireless Sensor Networks (WSNs) usually adopt a centralised approach to data processing and interpretation primarily due to the limited computation and energy resources available on sensor nodes. These constraints limits the potential of intelligent techniques to data analy- sis and such activities on the centralised host. In contrast, Intelligent WSNs (iWSNs) will be significantly more powerful thus enabling the harnessing of intelligent techniques for diverse purposes. One such purpose is the practical realisation of smart environments, and facilitating mobility and interaction with the inhabitants of such environments. As a step in this direction, this paper presents the design of an iWSN sensor node platform that enables the hosting of lightweight Artificial Intelligence (AI) frameworks whilst enabling the ubiquitous energy constraints be quantified, mitigated and managed.
      11309Scopus© Citations 1