TY - GEN
T1 - GTSS-UC
T2 - 25th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2021
AU - Bousbaa, Fatima Zohra
AU - Lakas, Abderrahmane
AU - Rezigat, Aboubakeur Elseddik
AU - Benguettache, Hadj Saad
AU - Lagraa, Nasreddine
AU - Kerrache, Chaker Abdelaziz
AU - Tahari, Abdou El Karim
N1 - Funding Information:
This research was supported in part by UAE University’s National Space Science and Technology Center Project number G00003280.
Publisher Copyright:
© 2021 IEEE.
PY - 2021/9/27
Y1 - 2021/9/27
N2 - Unmanned Aerial Vehicles (UAVs) cloud have attracted wide attentions from both industrial and academic communities as a new paradigm offering flexible services. This new concept utilizes the recent technologies of mobile cloud computing. The collaboration between these technologies represents a fantastic vision of the future, where everything is connected to the Internet, thereby offering intelligent services and facilitating decision-making between cooperative UAVs. In this work, we study the UAVs clouds computing services selection strategies. Our objectives are to (1) provide a detailed review of the existing services' selection methods and to (2) propose a new Game Theoretic approach for Selection of Services in UAV Clouds (GTSS-U C) aiming to enable normal users to select the most suitable UAV-Service-Provider. Given that every service' provider is characterized by specific features, limitations, and prices, a user must select the most suitable provider. The technique of selection is based on the Game Theory (GT) method and takes into account the user requirements and the UAVs provider qualities to find the most adequate provider. The results of the simulation conducted using NS-2 simulator advocate for the efficiency of our method in both network Quality-of-Service and Service gain.
AB - Unmanned Aerial Vehicles (UAVs) cloud have attracted wide attentions from both industrial and academic communities as a new paradigm offering flexible services. This new concept utilizes the recent technologies of mobile cloud computing. The collaboration between these technologies represents a fantastic vision of the future, where everything is connected to the Internet, thereby offering intelligent services and facilitating decision-making between cooperative UAVs. In this work, we study the UAVs clouds computing services selection strategies. Our objectives are to (1) provide a detailed review of the existing services' selection methods and to (2) propose a new Game Theoretic approach for Selection of Services in UAV Clouds (GTSS-U C) aiming to enable normal users to select the most suitable UAV-Service-Provider. Given that every service' provider is characterized by specific features, limitations, and prices, a user must select the most suitable provider. The technique of selection is based on the Game Theory (GT) method and takes into account the user requirements and the UAVs provider qualities to find the most adequate provider. The results of the simulation conducted using NS-2 simulator advocate for the efficiency of our method in both network Quality-of-Service and Service gain.
KW - Cloud Computing
KW - Game Theory Method
KW - GTSS-UC
KW - Services' Selection
KW - UAVs
UR - http://www.scopus.com/inward/record.url?scp=85119095049&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85119095049&partnerID=8YFLogxK
U2 - 10.1109/DS-RT52167.2021.9576124
DO - 10.1109/DS-RT52167.2021.9576124
M3 - Conference contribution
AN - SCOPUS:85119095049
T3 - Proceedings of the 2021 IEEE/ACM 25th International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2021
BT - Proceedings of the 2021 IEEE/ACM 25th International Symposium on Distributed Simulation and Real Time Applications, DS-RT 2021
A2 - Cecilia, Jose Maria
A2 - Martinez, Francisco J.
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 27 September 2021 through 29 September 2021
ER -