Study of resource allocation methods for smart city systems

DOI

https://doi.org/10.1109/SCM.2019.8903904
Final published version

Mohammed Saleh Ali Muthanna
U. T. Lyachek
S. S.S. Nasser
Ammar Muthanna
Mohammed Manea Ahmed Muthanna

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.

Original language	English
Title of host publication	Proceedings of 2019 22nd International Conference on Soft Computing and Measurements, SCM 2019
Editors	S. Shaposhnikov
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	129-132
Number of pages	4
ISBN (Electronic)	9781728136028
DOIs	https://doi.org/10.1109/SCM.2019.8903904
State	Published - May 2019
Event	22nd International Conference on Soft Computing and Measurements, SCM 2019 - St. Petersburg, Russian Federation Duration: 23 May 2019 → 25 May 2019

Publication series

Name	Proceedings of 2019 22nd International Conference on Soft Computing and Measurements, SCM 2019

Conference

Conference	22nd International Conference on Soft Computing and Measurements, SCM 2019
Country/Territory	Russian Federation
City	St. Petersburg
Period	23/05/19 → 25/05/19

Scopus subject areas

Artificial Intelligence
Computational Mathematics
Modelling and Simulation
Instrumentation
Computer Science Applications
Logic

Research areas

Edge computing, Internet of Things, Resource allocation, Smart city

ID: 87324832