• DocumentCode
    2668190
  • Title

    Reprogramming over the Air and Sensor Island Management through SYNAPSE++

  • Author

    Bui, Nicola ; Rossi, Michele ; Tapparello, Cristiano ; Zorzi, Michele

  • Author_Institution
    Dept. of Inf. Eng., Univ. of Padova, Padova, Italy
  • fYear
    2009
  • fDate
    22-26 June 2009
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Wireless sensor networks (WSNs) have been one of the main topics of networking research in recent years and now they are widely considered as a viable communication solution for resource constrained environments with moderate performance requirements. WSNs are often deployed in regions where it is difficult or too expensive to collect and redistribute the nodes for maintenance. However, there is often a need to reprogram all the nodes in the network, either during application test phases on deployed networks, or to support software upgrades. Therefore, a reliable method of sending a relatively large amount of data to each node in the network is required to support these functions. Also, such a feature makes the obsolescence time of the network significantly longer, since new applications can be installed on the devices without any onsite intervention. This demo will demonstrate how SYNAPSE++ can efficiently disseminate different applications to sensor nodes and will allow users to easily interact with them.
  • Keywords
    software maintenance; telecommunication computing; wireless sensor networks; SYNAPSE++; air sensor management; sensor island management; wireless sensor networks; Application software; Code standards; Engineering management; Error correction; Feedback; Forward error correction; Maintenance; Memory management; Protocols; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor, Mesh and Ad Hoc Communications and Networks Workshops, 2009. SECON Workshops '09. 6th Annual IEEE Communications Society Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    978-1-4244-3938-6
  • Type

    conf

  • DOI
    10.1109/SAHCNW.2009.5172960
  • Filename
    5172960