Mobile user behavior based topology formation and optimization in ad hoc mobile cloud

Abstract

As more and more mobile users use social networks to interact with other people currently, the resource limitation of mobile devices becomes an urgent problem to be solved. However, being a novel type of mobile cloud, the ad hoc mobile cloud allows participating mobile devices to share resources with other neighboring mobile devices, which can help the mobile device process a large amount of compute-intensive applications and conserve energy. In this paper, a mobile user behavior based topology formation and optimization in ad hoc mobile cloud is proposed. The mobile device nodes having similar behavioral features are grouped and formed as an ad hoc mobile cloud, which can reduce network delay and improve efficiency of node interaction. Subsequently, a flower pollination based offloading strategy is presented to reduce response time and save energy consumption. The experiment results show that our proposed ad hoc mobile cloud topology outperforms in scalability, while the offloading algorithm can reduce approximately 25%–50% response time and energy consumption as compared with that of other benchmark algorithms.