Abstract
Narrowband Internet of Things (NB-IoT) is a promising technology for healthcare applications since it reduces the latency necessary in acquiring healthcare data from patients, as well as handling remote patients. Due to the interference, limited bandwidth, and heterogeneity of generated data packets, developing a data transmission framework that offers differentiated Quality of Services (QoS) to the critical and non-critical data packets is challenging. The existing literature studies suffer from insufficient access scheduling considering heterogeneous data packets and relationship among them in healthcare applications. In this paper, we develop an optimal resource allocation framework for NB-IoT that maximizes a user’s utility through event prioritization, rate enhancement, and interference mitigation. The proposed Priority Aware Utility Maximization (PAUM) system also ensures weighted fair access to resources. The suggested system outperforms the state-of-the-art works significantly in terms of utility, delay, and fair resource distribution, according to the findings of the performance analysis performed in NS-3.
Highlights
We looked at Narrowband Internet of Things (NB-Internet of Things (IoT)), a licensed Low Power Wide Area Network (LPWAN) based on the OFDM method that featured to make it ideal for healthcare applications
This paper addresses the problem of developing an efficient healthcare monitoring system using NB-IoT that necessitates access prioritization of User Equipment (UE) to communicate with others through a base station and proficient channel allocation with different time slots
We study the performances of the radio resource management approaches for increasing data generation rates from the healthcare sensor devices
Summary
Establishing smart hospitals using suitable technologies is a necessity of time, and it requires an appropriate replacement of the physical interaction between patients and doctors by a reliable virtual one [1]. In a smart healthcare environment, the utility of a patient quantifies how fast and how reliably his/her real-time physical condition is reported to a central healthcare information management system. The problem of user utility maximization is translated as a multi-objective data delivery performance enhancement problem. It requires the prioritization of critical data over normal or regular event reporting. When a patient’s extreme high/low blood pressure (BP) is considered as the most important health parameter, the corresponding blood sugar level and respiratory rate become relatively important and a few others as regular health parameters
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