• DocumentCode
    3336045
  • Title

    EcoDAQ: A Densely Distributed, High Bandwidth Wireless Data Acquisition System

  • Author

    Chen, Chong-Jing ; Chou, Pai H.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Univ. of California, Irvine, CA
  • fYear
    2008
  • fDate
    22-24 April 2008
  • Firstpage
    545
  • Lastpage
    546
  • Abstract
    Current wireless sensor networks achieve dense deployment by low duty cycling. Unfortunately, this represents a great mismatch with many real-world applications that require non-trivial data rates. To solve these issues above, we propose EcoDAQ, a new densely distributed wireless data acquisition system with a relatively high data rate. We implement a MAC layer protocol that minimizes complexity and memory footprint on the sensor node while guaranteeing collision freedom, without using multiple frequency channels. As a result, this work is not only highly scalable to at least 50 active nodes per squared meter, but at the same time the low complexity minimizes the cost of these ultra-compact sensor devices. The full demo would show a system deployment with a minimum of 50 active sensors on a poster board of 1 m2 area. The monitoring station keeps gathering up to 500 accelerometer data samples per second from all of these 50 sensor nodes and displays them simultaneously on a fifty-screen tiled display system. A portable version that emulates the tiled screens in a reduced size will be shown at the conference.
  • Keywords
    access protocols; data acquisition; distributed processing; wireless channels; wireless sensor networks; EcoDAQ; MAC layer protocol; densely distributed wireless data acquisition system; duty cycling; multiple frequency channels; ultra-compact sensor devices; wireless sensor networks; Accelerometers; Bandwidth; Costs; Data acquisition; Displays; Frequency; Media Access Protocol; Monitoring; Sensor systems; Wireless sensor networks; Data Acquisition System; Eco; Sensor Network Syste;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Processing in Sensor Networks, 2008. IPSN '08. International Conference on
  • Conference_Location
    St. Louis, MO
  • Print_ISBN
    978-0-7695-3157-1
  • Type

    conf

  • DOI
    10.1109/IPSN.2008.34
  • Filename
    4505509