Abstract
Considering the characteristics of lower power resources in multi-point wireless body area networks (WBANs), the wireless energy and information transmission in full duplex (FD) mode is considered. We propose a transmission protocol based on time division multiple access, which includes two phases. In the inactive phase, the signal access point (AP) broadcasts Radio Frequency (RF) energy to the sensors. When the energy collected by all sensors reaches their respective energy thresholds, the active phase will start. In the active phase, the sensors send back the collected physiological information parameters to the AP, while sensors still collecting the energy transmitted from the AP to achieve the purpose of energy accumulating. Our goal is to obtain the optimal time allocation ratio through the joint objective linear programming method to obtain the maximum average sum-throughput. The simulation results compared with the AP with FD and the sensors with half duplex (HD) show that our proposed optimization method can improve system throughput obviously.
Highlights
With the development of wireless communication technology and intelligent electronic sensors, various electronic health applications have come into our sight
SIMULATION RESULTS we verify the previous formulations by comparing the average sum-throughput of the system in the full duplex (FD) mode and the average sum-throughput of the system in the APFD mode
This paper studies a multi-point FD energy and information transmission problem based on time splitting (TS) allocation protocol in Wireless body area networks (WBANs)
Summary
With the development of wireless communication technology and intelligent electronic sensors, various electronic health applications have come into our sight. Wireless body area networks (WBANs) are dynamic heterogeneous networks including sensors that have different sizes, uses, energy demands, etc [1]. Diagnosis is essential for the diagnosis and treatment of the disease [2]. The sensors in WBAN are usually battery-powered, battery replacement is difficult for implantable devices. In order to improve the life time cycle, it is important to solve the power problem of the sensor [3]
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