By Topic

Remote incremental linking for energy-efficient reprogramming of sensor networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Koshy, J. ; Div. of Comput. Sci., California Univ., Davis, CA, USA ; Pandey, R.

With sensor networks expected to be deployed for long periods of time, the ability to reprogram them remotely is necessary for providing new services, fixing bugs and enhancing applications and system software. Given the envisioned scales of future sensor network deployments, their restricted accessibility and the limited energy and computing resources of sensors, transmitting raw binary images is inefficient. We present a technique to minimize the cost of application evolution by remotely and incrementally linking updated modules at the base station and distributing deltas of the prelinked software modules. This paper provides details of our implementation, some preliminary results and surveys critical research issues in developing a comprehensive framework for reprogramming sensor networks.

Published in:

Wireless Sensor Networks, 2005. Proceeedings of the Second European Workshop on

Date of Conference:

31 Jan.-2 Feb. 2005