Energy-Efficient Access Resource Allocation in Wireless Body Area Networks via Coalitional Game-Based Optimization

Resource allocation has been a research focus in wireless networks for many years, and wireless body area networks (WBANs), which can be applied to health monitoring, epidemic management, and other scenarios, are a deep application of wireless sensor networks with unique energy consumption characteristics. In order to improve the allocation efficiency of WBANs access resources, optimize the access strategy, and control energy consumption, this article proposes an access resource allocation strategy that applies game theory and conforms to the physiological characteristics of the human body. We first construct a WBAN model based on multiperson multipoint at different physiological environments. Next, we propose an access allocation and energy consumption control strategy, which adapts to current and future network standards, based on the bilateral matching strategy in game theory. Finally, the performance of the strategy is evaluated by quantifying the correlation between the energy intensity consumed by the system, the number of sensors, the number of access points and the iteration period. The results show that compared with the classic access strategy, this strategy can effectively reduce system energy consumption. Therefore, the proposed strategy can achieve high-efficiency and low-energy-consumption access allocation in WBANs, thereby prolonging the life cycle of the system.