PoMeS: Profit-Maximizing Sensor Selection for Crowd-Sensed Spectrum Discovery.
S. Bayhan, G. Gür, and A. Zubow. CrownCom, volume 291 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 3-16. Springer, (2019)
@inproceedings{conf/crowncom/BayhanGZ19,
added-at = {2019-08-21T00:00:00.000+0200},
author = {Bayhan, Suzan and Gür, Gürkan and Zubow, Anatolij},
biburl = {https://www.bibsonomy.org/bibtex/26094ced4b7e7b7827982de11424b071b/dblp},
booktitle = {CrownCom},
crossref = {conf/crowncom/2019},
editor = {Kliks, Adrian and Kryszkiewicz, Pawel and Bader, Faouzi and Triantafyllopoulou, Dionysia and Caicedo, Carlos E. and Sezgin, Aydin and Dimitriou, Nikos and Sybis, Michal},
ee = {https://doi.org/10.1007/978-3-030-25748-4_1},
interhash = {d6a98ce5fa559bb5b70dbd32ad5768ac},
intrahash = {6094ced4b7e7b7827982de11424b071b},
isbn = {978-3-030-25748-4},
keywords = {dblp},
pages = {3-16},
publisher = {Springer},
series = {Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering},
timestamp = {2019-08-22T11:43:10.000+0200},
title = {PoMeS: Profit-Maximizing Sensor Selection for Crowd-Sensed Spectrum Discovery.},
url = {http://dblp.uni-trier.de/db/conf/crowncom/crowncom2019.html#BayhanGZ19},
volume = 291,
year = 2019
}