Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Alireza Chakeri"'
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, Vol 3, Pp 278-287 (2022)
The rapid adoption of the vehicles and their on-board sensors as a primary means of transportation make them natural candidates for the outsourcing of data collection. However, vehicles mobility patterns tend to cluster into specific regions such as
Externí odkaz:
https://doaj.org/article/0b4f288175d14fb3b1ef3fc939820887
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, Vol 2, Pp 13-23 (2021)
In this article, we present an incentive mechanism for Vehicular Crowdsensing in the context of autonomous vehicles (AVs). In particular, we propose a solution to the problem of sensing coverage of regions located out of the AVs’ planned trajectori
Externí odkaz:
https://doaj.org/article/35aa78251a944cffb5c6fe2e94c31de0
Publikováno v:
2020 SoutheastCon.
Street networks (SN) are intricate connections of roads and intersections; there is an enormous amount of available, open source street network (SN) data, such as the worldwide SN hosted by OpenStreetMaps, a popular source of SNs used in SUMO (Simula
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37f7ce33af2148f1e45e932695e1faef
https://doi.org/10.1109/southeastcon44009.2020.9249721
https://doi.org/10.1109/southeastcon44009.2020.9249721
Autor:
Quentin Goss, Alireza Chakeri, Juan M. Calderon, Luis G. Jaimes, Xin Wang, Mustafa Ilhan Akbas
Publikováno v:
2020 SoutheastCon.
In this paper, we present an incentive mechanism for vehicular crowdsensing (VCS) based on a recurrent reverse auction. The proposed approach encourages participant's vehicles to used their sensors to collect data while also maximizing their utility.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2c84efbfe4c5ede31e9f6afbb77cd16
https://doi.org/10.1109/southeastcon44009.2020.9249696
https://doi.org/10.1109/southeastcon44009.2020.9249696
Autor:
Luis G. Jaimes, Alireza Chakeri
Publikováno v:
IEEE Internet of Things Journal. 5:708-715
In this paper, we design an incentive mechanism for data collection in smart cities. We propose an incentive mechanism for crowdsensing with multiple crowdsourcers. We model the incentive mechanism as a noncooperative game. We consider two different
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf0982733e0b19920f8d3022ae981688
https://doi.org/10.1109/jiot.2017.2706946
https://doi.org/10.1109/jiot.2017.2706946
Autor:
Alireza Chakeri, Mark Lowe
Publikováno v:
ICDM Workshops
The increasing availability of geo-location data in digital advertising businesses, like Valassis Digital, provides a vast amount of trajectories for mobile devices representing users location histories. As part of a unique massive data collection an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fc8dad87224b9fd04167eb4f79276a4
https://doi.org/10.1109/icdmw.2018.00199
https://doi.org/10.1109/icdmw.2018.00199
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing.
In this article, we describe and evaluate a crowdsensing approach that entails local cooperation between crowdsensing participants in smart environments, utilizing an underlying fog computing-enabled Internet of Things. A fog computing-based Internet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9dcf38305c61ab2488515aa1fc99d42
https://doi.org/10.1007/s12652-018-0818-z
https://doi.org/10.1007/s12652-018-0818-z
Autor:
Luis G. Jaimes, Alireza Chakeri
Publikováno v:
ICC
Recent studies have modeled the incentive mechanism as a complete information game where the contributors have common knowledge. However, that assumption is not realistic in real world scenarios. In this paper, we present an incentive mechanism for C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34f6ac46f87f9ddfb808d9370b8b2b0b
https://doi.org/10.1109/icc.2017.7996575
https://doi.org/10.1109/icc.2017.7996575
Publikováno v:
ICPR
Graph spectral clustering algorithms have been shown to be effective in finding clusters and generally outperform traditional clustering algorithms, such as k-means. However, they have scalibility issues in both memory usage and computational time. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce4157c5fdd16b56ea2717c2f19c1867
https://doi.org/10.1109/icpr.2016.7899979
https://doi.org/10.1109/icpr.2016.7899979
Autor:
Alireza Chakeri, Farid Sheikholeslam
Publikováno v:
IEEE Transactions on Fuzzy Systems. 21:171-176
In this paper, we introduce fuzzy Nash equilibrium to determine a graded representation of Nash equilibriums in crisp and fuzzy games. This interpretation shows the distribution of equilibriums in the matrix form of a game and handles uncertainties i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ebb1b0e2bde043a9717884199039971
https://doi.org/10.1109/tfuzz.2012.2203308
https://doi.org/10.1109/tfuzz.2012.2203308