TU Berlin

Main document

Literature Database Entry


Adam Dunkels, Niclas Finne, Joakim Eriksson and Thiemo Voigt, "Run-time dynamic linking for reprogramming wireless sensor networks," Proceedings of 4th ACM Conference on Embedded Networked Sensor Systems (SenSys 2006), Boulder, CO, November 2006, pp. 15–28.


From experience with wireless sensor networks it has become apparent that dynamic reprogramming of the sensor nodes is a useful feature. The resource constraints in terms of energy, memory, and linker, processing power make sensor network reprogramming a challenging task. Many different mechanisms for reprogramming sensor nodes have been developed ranging from full image replacement to virtual machines.We have implemented an in-situ run-time dynamic and machine, loader that use the standard ELF object file format. We show that run-time dynamic linking is an effective method for reprogramming even resource constrained wireless sensor nodes. To evaluate our dynamic linking mechanism we have implemented an application-specific virtual and machine, a Java virtual and linking, compare the energy cost of the different and consumption, execution models. We measure the energy and execution time overhead on real hardware to quantify the energy costs for dynamic linkin.Our results suggest that while in general the overhead of a virtual machine is high, a combination of native code and virtual machine code provide good energy efficiency. Dynamic run-time linking can be used to update the native code, even in heterogeneous networks.

Quick access

Original Version DOI (at publishers web site)
BibTeX BibTeX


Adam Dunkels
Niclas Finne
Joakim Eriksson
Thiemo Voigt

BibTeX reference

    author = {Dunkels, Adam and Finne, Niclas and Eriksson, Joakim and Voigt, Thiemo},
    doi = {10.1145/1182807.1182810},
    title = {{Run-time dynamic linking for reprogramming wireless sensor networks}},
    pages = {15--28},
    publisher = {ACM},
    isbn = {978-1-59593-343-0},
    address = {Boulder, CO},
    booktitle = {4th ACM Conference on Embedded Networked Sensor Systems (SenSys 2006)},
    month = {11},
    year = {2006},

Copyright notice

Links to final or draft versions of papers are presented here to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or distributed for commercial purposes without the explicit permission of the copyright holder.

The following applies to all papers listed above that have IEEE copyrights: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

The following applies to all papers listed above that are in submission to IEEE conference/workshop proceedings or journals: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.

The following applies to all papers listed above that have ACM copyrights: ACM COPYRIGHT NOTICE. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org.

The following applies to all SpringerLink papers listed above that have Springer Science+Business Media copyrights: The original publication is available at www.springerlink.com.

This page was automatically generated using BibDB and bib2web.


Featured Paper