• DocumentCode
    3547902
  • Title

    Enabling commodity environmental sensor networks using multi-attribute combinatorial marketplaces

  • Author

    Lee, Kahyun ; Alrawahi, Ahmed Salim ; Toohey, Danny

  • Author_Institution
    Sch. of Eng. & Inf. Technol., Murdoch Univ., Murdoch, WA, Australia
  • fYear
    2013
  • fDate
    29-31 Aug. 2013
  • Firstpage
    115
  • Lastpage
    120
  • Abstract
    Large scale distributed e-infrastructures are emerging as commodity resource platforms. The next generation of commodity e-infrastructures will encapsulate the physical or tangible world by integrating ubiquitous sensors. Cheap environmental and physiological sensors are being increasingly deployed by many commercial organisations. The process of discovering and accessing commercially available resources requires a market for providers and consumers to trade these resources. This paper argues that developing a market will encourage the commoditisation of environmental sensor networks. It presents an overall architecture and adopts algorithms to support the trading of commodity environmental sensor networks.
  • Keywords
    combinatorial mathematics; environmental science computing; telecommunication industry; ubiquitous computing; wireless sensor networks; commodity e-infrastructures; commodity environmental sensor networks; commodity resource platforms; environmental sensors; large scale distributed e-infrastructures; multi-attribute combinatorial marketplaces; physiological sensors; ubiquitous sensors; Cloud computing; Computational modeling; Computer architecture; Monitoring; Security; Standards; Vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (APCC), 2013 19th Asia-Pacific Conference on
  • Conference_Location
    Denpasar
  • Print_ISBN
    978-1-4673-6048-7
  • Type

    conf

  • DOI
    10.1109/APCC.2013.6765926
  • Filename
    6765926