Wireless body area network (WBAN) is an emerging technology that has enormous potentials for continuous health monitoring\nof various diseases. For different medical and healthcare applications, the collected physiological data from multiple WBANs are\nfurther transmitted to the remote medical cloud servers. However, several technical issues and challenges are associated with the\nintegration of WBANs and cloud computing services. In this study, we develop a new cloud-assisted WBAN control scheme to\neffectively use the limited system resource. By employing the main ideas of Generalized Gini and Choquet bargaining solutions,\nour approach unfolds into dual stages of bargaining processes while increasing the flexibility and adaptability. In particular, we\nconsider the unique features of cloud-assisted WBAN applications and provide a generalized fair-efficient solution for the\nresource allocation problem. Numerical simulation results demonstrate that we can verify the superiority of our proposed scheme\nover the existing protocols. Lastly, major further challenges and future research directions about the cloud-assisted WBAN\nparadigm are summarized and discussed.
Loading....