• DocumentCode
    143719
  • Title

    High-level abstractions in wireless sensor networks: Status, taxonomy, challenges, and future directions

  • Author

    Alajlan, Abrar M. ; Elleithy, Khaled M.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of Bridgeport, Bridgeport, CT, USA
  • fYear
    2014
  • fDate
    3-5 April 2014
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Wireless sensor networks (WSNs) have gained a lot of considerations in recent years and have significant impacts on different application areas. Wireless sensors have been successfully deployed in different computing environments to measure, gather and process the raw information in the sensing area to the observers. Sensor networks provide infinite opportunities, but at the same time pose rough challenges due to the sensors´ characteristics and the operating conditions of these sensors. This paper provides an extensive study of the current state-of-art in programming wireless sensor network, presenting a classification of programming levels in the field and highlighting some likely programming challenges and research future directions.
  • Keywords
    wireless sensor networks; WSN; application areas; computing environments; high-level abstractions; operating conditions; programming levels; sensing area; wireless sensor networks; Collaboration; Programming; Scalability; Sensor phenomena and characterization; Synchronization; Wireless sensor networks; Macroprogramming; Programming Approaches; Programming Challenges; Sensor Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Society for Engineering Education (ASEE Zone 1), 2014 Zone 1 Conference of the
  • Conference_Location
    Bridgeport, CT
  • Print_ISBN
    978-1-4799-5232-8
  • Type

    conf

  • DOI
    10.1109/ASEEZone1.2014.6820645
  • Filename
    6820645