Wireless Body Area Networks (WBANs) and Wireless Local Area Networks (WLANs) have been widely regarded as solution providers for future Cyber-Physical Systems (CPS)-based ehealthcare amenities. The IEEE 802.11 standard specifies media access protocols in wireless networks, along with channel access methods. WBANs are expected to improve the existing healthcare services significantly, but several research challenges also have to be tackled for apt utilization of the technology. Guarantee of Quality-of-Service (QoS) differentiation between various health parameters, such as temperature and blood pressure, during mobility is a major challenge for the provision of ehealthcare services. The scheme proposed in this paper for the Mobile Wi-Fi based connectivity of WBANs is designed to provide QoS-based priorities for ehealthcare subscribers by altering the Contention Window (CW) for different applications of patient health monitoring. The relationship between CW and QoS is utilized to achieve efficient resource assignment. Three different health parameters, i.e., ECG (Electrocardiogram), BP (blood pressure) and temperature. are monitored using medical CPS in this work. The performance evaluation results, such as end-to-end packet delay and throughput for various data traffic classes reveal that the proposed scheme improves QoS provision.
In order to meet requirements of modern mobile users, 3GPP (3 rd Generation Partnership Project) has introduced LTE-A (Long Term Evolution Advanced), which improves the throughput and lowers the latency as compared to previous mobile systems. In order to efficiently allocate radio resources to mobile users, number of schedulers is available in literature. However, most of them are either for downlink, or they do not consider the LTE-A uplink functionalities. This paper presents an LTE-A uplink scheduler called (SA) Service Aware scheduler. The SA scheduler is design in accordance with LTE-A uplink specific features. As the simulation results illustrate, the proposed SA scheduling scheme outperforms other contemporary scheduling schemes by achieving better end-to-end delay and maintaining the uplink cell throughput performance. General TermsRadio resources management in LTE-A
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.