Title: An efficient game theoretic based computation offloading framework for network optimisation in mobile cloud IoT systems

Authors: Chinu Singla; Sakshi Kaushal

Addresses: University Institute of Engineering and Technology, Panjab University, Chandigarh, India ' University Institute of Engineering and Technology, Panjab University, Chandigarh, India

Abstract: Mobile cloud computing (MCC) is visualised as an encouraging approach to increase the computational capabilities of mobile devices. With the advancement of internet of things (IoT) technologies and mobile cloud, a new concept is developed called as mobile cloud IoT (MCIoT) which is the convergence of IoT and mobile cloud. In this paper, we propose a nested game theoretic technique for computation offloading algorithms. Firstly we introduce a game theoretic approach for network selection based on strategic and repeated game theory. Then, for determining the portion of application to be offloaded we use bargaining game theory based on Rubinstein-Stahl's model. Then the selection of the best cloud is analysed using auction game theory and trading market theory. Numerical results show that the proposed scheme can achieve effective computation offloading mechanism under MCIoT systems.

Keywords: mobile cloud computing; MCC; computation offloading; internet of things; IoT; nested game theory; Rubinstein-Stahl game theory; network selection; cloud path selection; network optimisation; auction game theory; trading market theory.

DOI: 10.1504/IJAIP.2017.082974

International Journal of Advanced Intelligence Paradigms, 2017 Vol.9 No.2/3, pp.186 - 203

Received: 11 Jan 2016
Accepted: 01 Jun 2016
Published online: 17 Mar 2017 *

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