• DocumentCode
    693541
  • Title

    A comprehensive compiler-assisted thread abstraction for resource-constrained systems

  • Author

    Bernauer, Alexander ; Romer, Kay

  • Author_Institution
    Inst. for Pervasive Comput., ETH Zurich, Zurich, Switzerland
  • fYear
    2013
  • fDate
    8-11 April 2013
  • Firstpage
    167
  • Lastpage
    177
  • Abstract
    While size and complexity of sensor networks software has increased significantly in recent years, the hardware capabilities of sensor nodes have been remaining very constrained. The predominant event-based programming paradigm addresses these hardware constraints, but does not scale well with the growing software complexity, often leading to software that is hard-to-manage and error-prone. Thread abstractions could remedy this situation, but existing solutions in sensor networks either provide incomplete thread semantics or introduce a significant resource overhead. This reflects the common understanding that one has to trade expressiveness for efficiency and vice versa. Our work, however, shows that this trade-off is not inherent to resource-constrained systems. We propose a comprehensive compiler-assisted cooperative threading abstraction, where full-fledged thread-based C code is translated to efficient event-based C code that runs atop an event-based operating system such as Contiki or TinyOS. Our evaluation shows that our approach outperforms thread libraries and generates code that is almost as efficient as hand-written event-based code with overheads of 1 % RAM, 2 % CPU, and 3 % ROM.
  • Keywords
    program compilers; wireless sensor networks; Contiki; TinyOS; comprehensive compiler-assisted cooperative threading abstraction; event-based C code; full-fledged thread-based C code; resource-constrained systems; sensor nodes; wireless sensor networks; Context; Instruction sets; Libraries; Programming; Semantics; Wireless sensor networks; Compiler; Threads; Wireless Sensor Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Processing in Sensor Networks (IPSN), 2013 ACM/IEEE International Conference on
  • Conference_Location
    Philadelphia, PA
  • Type

    conf

  • DOI
    10.1109/IPSN.2013.6917583
  • Filename
    6917583