Abstract
Wireless body area network (WBAN) is an emerging technology that has enormous potentials for continuous health monitoring of various diseases. For different medical and healthcare applications, the collected physiological data from multiple WBANs are further transmitted to the remote medical cloud servers. However, several technical issues and challenges are associated with the integration of WBANs and cloud computing services. In this study, we develop a new cloud-assisted WBAN control scheme to effectively use the limited system resource. By employing the main ideas of Generalized Gini and Choquet bargaining solutions, our approach unfolds into dual stages of bargaining processes while increasing the flexibility and adaptability. In particular, we consider the unique features of cloud-assisted WBAN applications and provide a generalized fair-efficient solution for the resource allocation problem. Numerical simulation results demonstrate that we can verify the superiority of our proposed scheme over the existing protocols. Lastly, major further challenges and future research directions about the cloud-assisted WBAN paradigm are summarized and discussed.
Highlights
With the rapid development of smart devices and Internetof- ings (IoT) technologies, wireless body area network (WBAN) can replace complex and offline-based healthcare process
Based on the Generalized Gini Bargaining Solution (GGBS), the communication resource is allocated to each WBAN, and the computation resource of cloud system is distributed according to the Choquet Bargaining Solution (CBS). ese two solutions share a common principle of rationality; they are consistent with the maximization of some ordering of the utility space [12]
(iii) e synergy of two combined bargaining solutions: we explore the interaction of GGBS and CBS methods and jointly design an integrated dualphase cooperative game model to leverage the synergistic and complementary features of cloud-assisted WBAN (CWBAN) services. e main idea of our dual-phase approach lies in its responsiveness to the reciprocal combination of different bargaining solutions
Summary
With the rapid development of smart devices and Internetof- ings (IoT) technologies, wireless body area network (WBAN) can replace complex and offline-based healthcare process. E integration of WBANs and cloud computing is expected to facilitate the development of cost-effective, scalable, and real-time online healthcare systems, which must be able to realize the data analysis of patients in different environments. In essence, such cooperative approaches are beneficially used for the communication and computation resource allocation problem in the CWBAN system To this end, cooperative bargaining game models are chosen to design a novel resource allocation scheme for the CWBAN system. Based on the GGBS, the communication resource is allocated to each WBAN, and the computation resource of cloud system is distributed according to the CBS. (iii) e synergy of two combined bargaining solutions: we explore the interaction of GGBS and CBS methods and jointly design an integrated dualphase cooperative game model to leverage the synergistic and complementary features of CWBAN services.
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