Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Study of resource allocation methods for smart city systems. / Muthanna, Mohammed Saleh Ali; Lyachek, U. T.; Nasser, S. S.S.; Muthanna, Ammar; Muthanna, Mohammed Manea Ahmed.
Proceedings of 2019 22nd International Conference on Soft Computing and Measurements, SCM 2019. ed. / S. Shaposhnikov. Institute of Electrical and Electronics Engineers Inc., 2019. p. 129-132 8903904 (Proceedings of 2019 22nd International Conference on Soft Computing and Measurements, SCM 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
}
TY - GEN
T1 - Study of resource allocation methods for smart city systems
AU - Muthanna, Mohammed Saleh Ali
AU - Lyachek, U. T.
AU - Nasser, S. S.S.
AU - Muthanna, Ammar
AU - Muthanna, Mohammed Manea Ahmed
N1 - Publisher Copyright: © 2019 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - Due to the widespread use of sensors, the creation of a smart city requires proper methods of data collection, which can be further analyzed to provide several services in a smart city. This article discusses the IoTDM service software architecture, also defines entities that, according to oneM2M specifications, are used to create a tree of Internet of Things resources as local servers for resource allocation in a smart city.
AB - Due to the widespread use of sensors, the creation of a smart city requires proper methods of data collection, which can be further analyzed to provide several services in a smart city. This article discusses the IoTDM service software architecture, also defines entities that, according to oneM2M specifications, are used to create a tree of Internet of Things resources as local servers for resource allocation in a smart city.
KW - Edge computing
KW - Internet of Things
KW - Resource allocation
KW - Smart city
UR - http://www.scopus.com/inward/record.url?scp=85075939929&partnerID=8YFLogxK
U2 - 10.1109/SCM.2019.8903904
DO - 10.1109/SCM.2019.8903904
M3 - Conference contribution
AN - SCOPUS:85075939929
T3 - Proceedings of 2019 22nd International Conference on Soft Computing and Measurements, SCM 2019
SP - 129
EP - 132
BT - Proceedings of 2019 22nd International Conference on Soft Computing and Measurements, SCM 2019
A2 - Shaposhnikov, S.
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 22nd International Conference on Soft Computing and Measurements, SCM 2019
Y2 - 23 May 2019 through 25 May 2019
ER -
ID: 87324832