• DocumentCode
    3249347
  • Title

    Benefits of building wireless sensor networks on commodity hardware and software stacks

  • Author

    Bajema, Nigel B. ; Trevathan, Jarrod ; Bergmann, Neil W. ; Atkinson, Ian ; Read, Wayne ; Scarr, Adam ; Lee, Yong Jin ; Johnstone, Ron

  • Author_Institution
    eResearch Centre, James Cook Univ., Townsville, QLD, Australia
  • fYear
    2011
  • fDate
    6-9 Dec. 2011
  • Firstpage
    282
  • Lastpage
    287
  • Abstract
    The majority of wireless sensor networks are built on bespoke platforms, that is, custom designed and built hardware with a light weight software stack. There are a number of advantages to this approach. First, the ability to closely match and minimise the resource requirements (e.g., power consumption and communications protocols) to those that are suitable for the intended deployment. Second, as an entire hardware and software stack is often designed or at least optimised for each deployment, the latest advances can be quickly incorporated. However, this model generally requires the expertise of hardware and software engineers to design and build the system. In turn, this increases the cost and tends to shift the focus away from the initial science towards the development of the wireless sensor networks. This paper explores the utility and practicality of building wireless sensor networks based on commercially available embedded single board computing platforms using standard consumer operating systems. Our test bed was built using Gumstix computing platform, running a Linux Operating System (OS) with a java-based middleware coupled to low-cost scientific grade sensors. Test deployments have found this to be a highly versatile solution, able to leverage the flexibility of commodity hardware and software while maintaining reasonable utility.
  • Keywords
    Java; Linux; embedded systems; middleware; software engineering; wireless sensor networks; Gumstix computing platform; Java-based middleware; Linux operating system; bespoke platforms; commodity hardware; embedded single board computing platforms; lightweight software stack; resource requirements; standard consumer operating systems; wireless sensor networks; Batteries; Educational institutions; Hardware; Sensor systems; Software; Wireless sensor networks; Commodity Stack; WSN;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2011 Seventh International Conference on
  • Conference_Location
    Adelaide, SA
  • Print_ISBN
    978-1-4577-0675-2
  • Type

    conf

  • DOI
    10.1109/ISSNIP.2011.6146554
  • Filename
    6146554