I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Delay- and Incentive-Aware Crowdsensing: A Stable Matching ..:
, In:
ICC 2022 - IEEE International Conference on Communications
,
Simon, Bernd
;
Dongare, Sumedh
;
Mahn, Tobias
.. - p. 2984-2989 , 2022
Link:
https://doi.org/10.1109/ICC45855.2022.9838603
RT T1 <cTitle>ICC 2022 - IEEE International Conference on Communications</cTitle>: T1 <Title>Delay- and Incentive-Aware Crowdsensing: A Stable Matching Approach for Coverage Maximization</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9838603&Exemplar=1&LAN=DE A1 Simon, Bernd A1 Dongare, Sumedh A1 Mahn, Tobias A1 Ortiz, Andrea A1 Klein, Anja YR 2022 SN 1938-1883 K1 Costs K1 Crowdsensing K1 Numerical simulation K1 Sensors K1 Resource management K1 Task analysis SP 2984 OP 2989 LK http://dx.doi.org/https://doi.org/10.1109/ICC45855.2022.9838603 DO https://doi.org/10.1109/ICC45855.2022.9838603 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
