Autonomous and adaptive resource allocation among multiple nodes andmultiple applications in heterogeneous wireless networks

Abstract

A variety of wireless communication methods, including cellular, Wi-Fi, WiMAX, and DSRC, will be accessible to mobile users and apps in the near future. More and more people and applications will be able to be accommodated in mobile environments as wireless communication and mobile devices continue to advance. We need an adaptive method that allows mobile users and apps to share the available network resources while meeting each application's quality of service needs. This is necessary since there are limited wireless resources, and the communication quality of different applications might vary over time. We provide an adaptive resource allocation technique in this study that allows each node to decide for itself how much wireless network resource to allocate to each of the networked apps that run on it. We use an attractor composition model—inspired by the self-organising and ever-changing behaviour of living systems—to achieve this goal. We validated our mechanism's ability to stably and adaptively distribute wireless network resources to applications by doing numerical analyses. This process took into account the applications' QoS needs and ensured that network resources were shared equitably across nodes. Our technique is also shown to be better than one in which a node allocates resources by solving an optimisation issue.