Abstract
The Internet of Medical Things (IoMT) is an amalgamation of smart devices to operate the wireless body area network (WBAN) by using networking technologies. To reduce the burden on WBANs, they link to the mobile edge computing (MEC), on which captured medical data can be stored and analyzed. In this paper, we design a new control scheme to effectively share the limited computation and communication resources in the MEC-assisted WBAN (M-W) platform. Based on the bargaining game theory, our proposed scheme explores the mutual benefits of intra- and inter-WBAN interactions. To dynamically adapt the current system conditions, we shape each WBAN’s aspirations to reach a reciprocal consensus for different application services. Utilizing two control factors, we provide a unifying framework for the study of intra- and inter-WBAN bargaining problems to share the limited system resource. Based on the feasibility and real-time effectiveness, the main novelty of the proposed scheme is the ability to achieve a relevant tradeoff between efficiency and fairness through the interactive bargaining process. At last, the experimental results show that the proposed scheme achieves substantial performance improvements to the comparison schemes.
Highlights
With the widespread application of the Internet of ings (IoT), a large number of smart devices are connected via Internet for ubiquitous services
Healthcare in modern days has been transformed by advances in the IoT technology; the common practice of clinical treatment is gradually being overhauled by ubiquitous healthcare systems. erefore, medical practices need to respond to these undergoing crucial changes by developing strategies to provide the best patient care while remaining profitable. e wireless body area network (WBAN) has emerged as a key technology to access healthcare services anytime and anywhere
It is a kind of wireless communication networks centered on the human body, which can collect physiological, behavioral, and other health-related data in real time. erefore, the WBAN is capable of providing real-time e-healthcare services to patients with emergency medical needs in a cost-effective and reliable manner
Summary
With the widespread application of the Internet of ings (IoT), a large number of smart devices are connected via Internet for ubiquitous services. To effectively share the intra-WBAN computation and inter-WBAN communication resources, one of the key challenges is to understand the behaviors of self-regarding IoMT devices while dynamically negotiating conflicting requests. To handle this challenge, we adopt the bargaining game theory to guide these selfish IoMT devices to achieve a globally desirable M-W system performance. En, an inter-WBAN bargaining game model is developed to share the limited spectrum resource in the M-W system For this dual bargaining process, the ideas of AABS and KSBS are adopted based on the service characteristics. (iii) At the second stage, the inter-WBAN bargaining process is developed based on the KSBS It distributes the MEC spectrum resource for multiple WBANs by considering the features of heterogeneous IoMT services.
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