Literature Database Entry

struebe2010stateful

Moritz Strübe, Rüdiger Kapitza, Klaus Stengel, Michael Daum and Falko Dressler, "Stateful Mobile Modules for Sensor Networks," Proceedings of 6th IEEE/ACM International Conference on Distributed Computing in Sensor Systems (DCOSS 2010), vol. LNCS 6131, Santa Barbara, CA, June 2010, pp. 63–76.

Abstract

Most sensor network applications are dominated by the acquisition of sensor values. Due to energy limitations and high energy costs of communication, in-network processing has been proposed as a means to reduce data transfers. As application demands may change over time and nodes run low on energy, get overloaded, or simply face debasing communication capabilities, runtime adaptation is required. In either case, it is useful to be able to migrate computations between neighboring nodes without losing runtime state that might be costly or even impossible to recompute. We propose stateful mobile modules as a basic infrastructure building block to improve adaptiveness and robustness of in-network processing applications. Stateful mobile modules are binary modules linked on the node itself. Even more importantly, they can be transparently migrated from one node to another, thereby keeping statically as well as dynamically allocated memory. This is achieved by an optimized binary format, a memory-efficient linking process and an advanced programming support.

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Moritz Strübe
Rüdiger Kapitza
Klaus Stengel
Michael Daum
Falko Dressler

BibTeX reference

@inproceedings{struebe2010stateful,
    author = {Str{\"{u}}be, Moritz and Kapitza, R{\"{u}}diger and Stengel, Klaus and Daum, Michael and Dressler, Falko},
    doi = {10.1007/978-3-642-13651-1_5},
    title = {{Stateful Mobile Modules for Sensor Networks}},
    pages = {63--76},
    publisher = {Springer},
    volume = {LNCS 6131},
    address = {Santa Barbara, CA},
    booktitle = {6th IEEE/ACM International Conference on Distributed Computing in Sensor Systems (DCOSS 2010)},
    month = {6},
    year = {2010},
   }
   
   

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Last modified: 2024-04-16