- Article
(1113 KB) - Metadata XML
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Articles | Volume XLII-4/W4
https://doi.org/10.5194/isprs-archives-XLII-4-W4-353-2017
© Author(s) 2017. This work is distributed under the Creative Commons Attribution 4.0 License.
27 Sep 2017
| 27 Sep 2017
OPTIMIZING ENERGY CONSUMPTION IN VEHICULAR SENSOR NETWORKS BY CLUSTERING USING FUZZY C-MEANS AND FUZZY SUBTRACTIVE ALGORITHMS
Viewed
Total article views: 953 (including HTML, PDF, and XML)
Views and downloads (calculated since 27 Sep 2017)
Cumulative views and downloads
(calculated since 27 Sep 2017)
Viewed (geographical distribution)
Total article views: 907 (including HTML, PDF, and XML)
Thereof 907 with geography defined
and 0 with unknown origin.
| Country | # | % |
|---|
Latest update: 17 Sep 2025
The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
Useful Links
Useful External Links
Our Contact
c/o
Leibniz University Hannover
Institute of Photogrammetry and GeoInformation
Nienburger Str. 1
D-30167 Hannover
GERMANY
Email: isprs-sg@isprs.org