TY - GEN
T1 - A Software-defined Delay-aware Traffic Load Control for WiFi-based Smart City Services
AU - Kurungadan, Basima
AU - Abdrabou, Atef
N1 - Funding Information:
This research is supported by the UAE University UPAR grant number 12N008 and College of Engineering.
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Most Smart city initiatives embrace WiFi as the candidate technology for its ubiquitous coverage and cost-effectiveness. Nevertheless, the quality-of-service (QoS) requirements of different applications vary, hindering the applicability of some smart city services. This paper addresses the usage of software-defined networking ( SDN) to control the traffic load of WiFi access points constituting a city-wide coverage. The traffic load control aims to satisfy the packet delay requirements of smart city applications without the need of having special requirements on the WiFi nodes such as running a software agent, sending probe packets, or supporting specific roaming protocol. A traffic load control algorithm is developed and tested using hardware experiments performed in a practical setting that mimics the actual scenario. The performance results show that the developed algorithm is effective in maintaining low packet transfer delay.
AB - Most Smart city initiatives embrace WiFi as the candidate technology for its ubiquitous coverage and cost-effectiveness. Nevertheless, the quality-of-service (QoS) requirements of different applications vary, hindering the applicability of some smart city services. This paper addresses the usage of software-defined networking ( SDN) to control the traffic load of WiFi access points constituting a city-wide coverage. The traffic load control aims to satisfy the packet delay requirements of smart city applications without the need of having special requirements on the WiFi nodes such as running a software agent, sending probe packets, or supporting specific roaming protocol. A traffic load control algorithm is developed and tested using hardware experiments performed in a practical setting that mimics the actual scenario. The performance results show that the developed algorithm is effective in maintaining low packet transfer delay.
KW - control
KW - delay
KW - e-Health
KW - IoT
KW - load
KW - smart city
KW - Software-defined Networking
KW - traffic
KW - WiFi
UR - http://www.scopus.com/inward/record.url?scp=85123769754&partnerID=8YFLogxK
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U2 - 10.1109/CITS52676.2021.9617928
DO - 10.1109/CITS52676.2021.9617928
M3 - Conference contribution
AN - SCOPUS:85123769754
T3 - Proceedings of the International Conference on Computer, Information, and Telecommunication Systems, CITS 2021
BT - Proceedings of the International Conference on Computer, Information, and Telecommunication Systems, CITS 2021
A2 - Obaidat, Mohammad S.
A2 - Bilgen, Semih
A2 - Hsiao, Kuei-Fang
A2 - Nicopolitidis, Petros
A2 - Oktug, Sema
A2 - Guo, Yu
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 International Conference on Computer, Information, and Telecommunication Systems, CITS 2021
Y2 - 11 November 2021 through 13 November 2021
ER -
