Abstract
The implementation of the game theory approach represented by Shapley value is done through a design of network based on WLAN with three types of applications, namely video streaming, file sharing, and Web Access equipped with DB. Python is used to implement the Shapely value while OPNET is used to simulate the proposed architecture. The comparison data shows that using game theory approaches minimize data rate wasting and fair distribution of data rate among each application, this is because game theory approach itself has a coalition between users and allocates resources fairly between users, and the results of simulation focusing on traffic sent and received are compared to verify this fact. The performed comparison shows that the game theory results are performing better than the normal one adopted by the WLAN which is Round Robin with PCF.
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References
Wyld, D.C.: Moving to the cloud: an introduction to cloud computing in government. IBM Center for the Business of Government (2009)
Clinch, S., Harkes, J., Friday, A., Davies, N., Satyanarayanan, M.: How close is close enough? Understanding the role of cloudlets in supporting display appropriation by mobile users. In: 2012 IEEE International Conference on Pervasive Computing and Communications. pp. 122–127 (2012)
Gu, B., Chen, Y., Liao, H., Zhou, Z., Zhang, D.: A distributed and context-aware task assignment mechanism for collaborative mobile edge. Sensors 18(8), 1424–8220 (2018)
Zafari, F., Li, J., Leung, K.K., Towsley, D., Swami, A.: A game-theoretic approach to multi-objective resource sharing and allocation in mobile edge. In: Proceedings of the 2018 on Technologies for the Wireless Edge Workshop, pp. 9–13 (2018)
Cao, Z., Zhang, H., Liu, B., Sheng, B.: A game-theoretic framework for revenue sharing in edge-cloud computing system. In: 2018 IEEE 37th International Performance Computing and Communications Conference (IPCCC), pp. 1–8 (2018)
Abedin, S.F., Hong, C.S.: Bankruptcy game based computational resource scaling in mobile edge computing. 2018 Korean Netw. Oper. Manage. (2018)
Zhang, T.: Data offloading in mobile edge computing: a coalition and pricing based approach. IEEE Access 6, 2760–2767 (2017)
Bahtovski, A., Gusev, M.: Cloudlet challenges. Procedia Eng. 69, 704–711 (2014)
Al-Doghman, F., Chaczko, Z., Ajayan, A.R., Klempous, R.: A review on fog computing technology. In: 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 001525–001530 (2016)
www.etsi.org: 2019 Multi-access Edge Computing (MEC). [ONLINE] Available at:Â https://www.etsi.org/technologies/multi-access-edge-computing. Accessed 17 July 2020
Serrano, R.: Cooperative games: Core and Shapley value (No. 2007–11). Working Paper
Hadzic, S., Mumtaz, S., Rodriguez, J.: Cooperative game theory and its application in localization algorithms. In:Â Game Theory Relaunched, p. 173, Intech. (2013)
Iturralde, M., Wei, A., Ali-Yahiya, T., Beylot, A.L.: Resource allocation for real time services in LTE networks: resource allocation using cooperative game theory and virtual token mechanism. Wireless Pers. Commun. 72(2), 1415–1435 (2013)
etutorial.org. 2019. Wireless Local Area Networks (WLANs). [ONLINE] Available at:Â http://etutorials.org/Mobile+devices/mobile+wireless+design/Part+One+Introduction+to+the+Mobile+and+Wireless+Landscape/Chapter+3+Wireless+Networks/Wireless+Local+Area+Networks+WLANs/. Accessed 12 August 2020
Published IEEE 802.11 Point Coordination Function (PCF), Intel Services Forum. https://software.intel.com/content/www/us/en/develop/topics/networking.html. Accessed 5 August 2020
Software.intel.com.2008. MAC 802.11 Point Coordinator Function. [ONLINE] Available at: https://software.intel.com/content/www/us/en/develop/articles/mac-80211-point-coordinator-function.html. Accessed 5 August 2020
Gast, M.: 802.11 wireless networks: the definitive guide. O'Reilly Media, Inc. (2005)
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Khudhur, D.M., Yahiya, T.A., Kirci, P. (2021). Applying Game Theory Concept to Improve Resource Allocation in Mobile Edge Computing. In: Bentahar, J., Awan, I., Younas, M., Grønli, TM. (eds) Mobile Web and Intelligent Information Systems. MobiWIS 2021. Lecture Notes in Computer Science(), vol 12814. Springer, Cham. https://doi.org/10.1007/978-3-030-83164-6_9
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