Data mules: Modeling and analysis of a three-tier architecture for sparse sensor networks

EBC is a programme of the International Energy Agency (IEA)

Your use of the Annex 66 website is subject to the following terms and conditions: annex66.org is operated by Lawrence Berkeley National Laboratory, a Department of Energy National Laboratory managed and operated by the University of California (“LBNL” and “Berkeley Lab”) engaged in fundamental, unclassified research in the public interest. By using this site, you agree to abide by the terms of the LBNL Privacy and Security notice, this Use Agreement, the terms described herein and the Annex 66 Privacy Policy. You also acknowledge that the data in Annex 66 is subject to error and may not be accurate enough for your application. You agree not to hold the developers, contributors, hosts of Annex 66, the Regents of the University of California, and the Department of Energy liable for any inaccuracies in the data, or consequences thereof, or for any claims brought by any third party regarding their data contributions.

Title	Data mules: Modeling and analysis of a three-tier architecture for sparse sensor networks
Publication Type	Journal Article
Year of Publication	2003
Authors	Shah, RC, Roy, S, Jain, S, Brunette, W
Journal	Ad Hoc Networks
Volume	1
Pagination	215-233
ISBN Number	1570-8705

Main menu

You are here

Data mules: Modeling and analysis of a three-tier architecture for sparse sensor networks