Edge-Enabled WBANs for Efficient QoS Provisioning Healthcare Monitoring: A Two-Stage Potential Game-Based Computation Offloading Strategy

Abstract

Wireless Body Area Network (WBAN) as one of the primary Internet of Things (IoT) provides real time and continuous healthcare monitoring and has been widely deployed to improve the quality of peoples' life. In edge-enabled WBANs, intensive computing tasks could be offloaded to Mobile Edge Computing (MEC) servers, guaranteeing that the massive amount of health data with different user priorities could be processed in lower delay and energy consumption. Efficient computation offloading schemes are more critical to satisfy the massive data access and personalized service requirements for multiple Quality of Service (QoS) parameters constraint WBANs. In this paper, we propose a Two-Stage Potential Game based Computation Offloading Strategy (TPOS) to optimize resource allocation while taking into consideration the task priorities and user priorities of WBANs. Firstly, we construct a system utility maximization problem about the QoS of tasks. The reward, cost and penalty functions are given to model the computation offloading. Then, we propose a two-stage optimization method to solve the problem of mutual restriction strategies existing in the strategy space of the potential game model, reducing the computation complexity and improving the feasibility of the algorithm. Finally, performance evaluations on average processing delay, energy consumption and network utility are conducted to show the significance of the proposed TPOS algorithm. INDEX TERMS WBAN, edge computing, computation offloading, potential game, healthcare monitoring.

A New Two-Stage Bargaining Game Approach for Intra- and Inter-WBAN Management

“…In the two levels, the offloading and unloading decisions are made to allocate different local and server computing resources to tasks of certain WBANs. Finally, performance evaluation results show that the TGCO scheme can improve the average processing delay, energy consumption, and network utility at different data arrival rates [4].…”

“…is section presents a brief survey in the area of recent WBAN control protocols. In [4], Yuan et al propose the Two-level Game based Computation Offloading (TGCO) scheme to optimize the WBAN resource allocation problem. First, they define a utility function to quantify the impact of resource allocation and make offload decisions according to the task characteristics.…”

“…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. As a significant component of the IoT, the WBAN is known as Internet of Medical ings (IoMT) and influences the human by human health monitoring through wearable or implanted medical sensors [2][3][4][5].…”

“…In addition, for the environment of urban M-W platform, the spectrum resource of MEC is scarce when there are numerous WBANs. erefore, it should be efficiently shared among heterogeneous WBANs [4,5,8].…”

Practical pairing-Free sensor cooperation scheme for cloud-Assisted wireless body area networks

“…Hence, we assume that all participating sensors and PC secret key information is always safely stored at the HC side. Personal controller (PC) is a portable device used to aggregate personal sensor data (Yuan et al 2020). Sensitive biomedical data is then transmitted to the remote server via PC.…”