Network throughput optimization for grouping based NB-CR-IoT wireless body area network for healthcare monitoring system

This paper studies how to efficiently harvest energy and improve network throughput so that the narrowband user equipment has a longer life span instead of replacing batteries every few years to keep them working. To harvest enough energy for spectrum sensing and data transmission, we propose a grouping-based network which also maximizes the network throughput. Initially, instead of sensing the spectrum, we first harvest the energy and then use this harvested energy for spectrum sensing and data transmission. The grouping is done in such a way that the users which are in closer proximity to the AP are considered a group. The devices which are out of the range of access point (AP) can harvest energy, but it is comparatively less than those devices which are grouped with AP. In such cases, they are grouped with the AP that is closer to them. The main aim is to escalate the amount of harvested energy and extend the life span of the devices to have as many successful data transmissions as possible. Since the devices use the spectrum allocated to primary users (Pu) for data transmissions and the devices can transmit data only when the PU's spectrum is free, the proposed model is beneficial for wireless body area networks where electronic health monitoring is one of the major applications.

Automated summary

This paper investigates the efficient harvest of energy and enhancement of network throughput to extend the lifespan of narrowband user equipment. The proposed network model utilizes grouping-based approach, where energy is harvested first before spectrum sensing and data transmission are performed. The grouping strategy considers users in closer proximity to the access point (AP) as a group, allowing for increased energy harvesting and longer device lifespan.