No abstract

Wireless body area networks (WBANs) exhibits immense potential for application in ubiquitous healthcare systems. However, in dense environments where multiple WBANs are deployed such as hospitals, the performance of WBANs is deteriorated by inter-network interference. In this study, we apply Kuramoto model to the transmission power control of users in WBAN environments with the purpose of addressing the issue of inter-network interference, and thereby improving the Quality of Service (QoS) fairness in WBAN environment. For this purpose, we define the utility function which expresses the QoS of a user and synchronize this utility function value of each user for fair resource allocation. The synchronization of the utility function is obtained by Kuramoto model and coupling coefficient defined in Kuramoto model is dynamically adjusted for faster convergence. The range of convergence of the Kuramoto model is derived analytically. From the simulation results, we can verify that the performance of the proposed algorithm is better than those of the existing algorithms with regard to QoS fairness, power, and data rate. In addition, we show that the convergence speed of the proposed algorithm with adaptive coupling strength parameter outperforms the Kuramoto model with fixed coupling strength parameter. INDEX TERMS Kuramoto model, quality of service (QoS), transmission power control, wireless body area networks (WBANs).

No abstract

Considering the exponential growth of wireless devices with datastarving applications fused with artificial intelligence, the significance of wireless network scalability using distributed behavior and fairness among users is a crucial feature in guaranteeing reliable service to numerous users in the network environment. The Kuramoto model is described as nonlinear selfsustained phase oscillators spinning at varying intrinsic frequencies connected through the sine of their phase differences and displays a phase transition at a specific coupling strength, in which a mutual behavior is accomplished. In this work, we apply the Kuramoto model to achieve a weighted fair resource allocation in a wireless network, where each user has different quality of service (QoS) requirements. Because the original Kuramoto model is the synchronization model, we propose a new weighting parameter for representing requirement of each node resource and modify the Kuramoto model to achieve weighted fair resource allocation for users with different QoS requirements. The proposed modified Kuramoto model allocates all users the resource based on their weight among contending nodes in a distributed manner. We analyze the convergence condition for the proposed model, and the results reveal that the proposed algorithm achieves a weighted fair resource allocation and with potentially high convergence speed compared to previous algorithm.